With technological advancement and the pandemic forcing us to explore the world of work-from-home jobs, more and more companies opt for remote operations and offer this facility of remote jobs to their employees. Work-from-home Data Analytics jobs are becoming increasingly popular. This also helps the companies to access widespread talent and helps the employees to find work from any geography. Data analytics has been omnipresent in recent years and is well-suited for remote work. This article will give us insights into the world of work-from-home data analytics jobs.
What is Data Analytics?
Data is any systematic record or collection of facts and figures to be used for an examination or analysis. Data arranged in an organized form is called information. Data can be structured or unstructured data, quantitative and qualitative. Analytics in the field of computer science uses maths, statistics, and machine learning to identify patterns in data that are meaningful.
Analytics involves scrutinizing data to determine, infer, and share new understandings and knowledge. Data Analytics is an examination of raw data to extract useful conclusions about the information to make competent, data-driven business decisions and improve operations. Data analytics is done with the help of specialized software.
Work-from-home data analytics jobs is a role that requires to have access to the tools and resources that are necessary to work from home, including but not limited to a computer, internet connection, and necessary software. Such jobs can be full-time, part-time, or contractual.
Data analytics plays a vital role in understanding trends and patterns from the huge data that is collected. It helps optimize performance, estimate results, and reduce costs. Data analytics aids businesses in understanding their end customers. These observations help plan for the future by keeping track of customers’ behavior towards products or services.
It can also help at a very generic level to identify the reason for low sales, why and which products people buy, the amount spent on these products, how to increase sales, etc. It helps industries improve their performance. Implementation of data analytics into the business helps in finding efficient ways of reducing costs.
As Data Analytics is an in-demand skill set, it is a perfect career choice for people who wish to fulfill their aspirations in this fast-growing field.
It is sometimes misconstrued that data analysis and data analytics are the same. Data analysis is done to examine the data to understand what has happened in connection to the data in the past whereas to find what will happen, data analytics is done. Data analysis refers to specific actions whereas Data analytics makes use of data and tools to make business decisions.
The commonly used and simplest form of data analytics. It analyses data finds trends, and describes WHAT has happened based on the available data.
Diagnostic Analytics
It describes WHY something happened in a particular manner. It helps to figure out how it happened and what can be done to stop recurrence.
Predictive Analytics
An advanced form of analytics that answers ‘WHAT WILL HAPPEN NEXT?’ in a business. It predicts the future consequence of a situation depending on the combination of the data related to both market trends and older data about your business.
Prescriptive Analytics
Complex types of analysis to decide HOW the actions and decisions should be taken based on outcomes that have been predicted after assessing the different scenarios.
Cognitive Analytics
It is the most advanced and smarter form of analytics combining technologies like artificial intelligence, machine learning algorithms, and deep learning models to process the information and deduce from existing data and patterns.
Check here the top-ranked data analytics courses to get a high-paying job:
Anybody with an inclination and a very strong foundation in Mathematics and a good understanding of statistics, linear algebra, and calculus, can pursue Data Analytics after the 12th (H.S.C or equivalent) to get a bachelor’s degree (B.Tech) and also at a postgraduate level.
Bachelor’s degree or equivalent in Science or Computer Science with 50% aggregate marks from a recognized university is a requirement for MTech/MBA programs. Apart from the conventional approach, many certification or diploma courses are also available.
Data Analytics courses cover skills like Statistics, Data visualization, Machine Learning Algorithms, Ensemble Techniques, Text Mining/ Natural Language Processing, Forecasting Analytics, and Hypothesis Testing. Online certification programs in Data Analytics can be in collaboration with big organizations like IBM, TCS, etc.
MBA in Data Analytics
An MBA degree in Data Analytics broadens the prospects for job opportunities. MBA graduates also get significant salary growth. MBA in Data Analytics covers data analysis skills and business skills. Students learn about business intelligence, data analytics, and information technology.
Technical and Other Skills Required for Data Analytics Job
Data Analytics job requires speed, agility, and performance to utilize their full potential. It is a specialized field that requires a combination of technical and analytical skills. Some of the skills required for work-from-home data analytics jobs include:
Technical skills: A strong base in statistics, data mining, and machine learning is essential for data analytics. Job seekers should have a good understanding or experience in working with databases, programming languages such as Python and R or SQL, and data visualization tools.
Analytical skills: Good understanding of business requirements and translating them into data models. Ability to collect, analyze, and interpret large amounts of data and identify patterns and trends in large data sets to help businesses make informed decisions.
Domain Knowledge: Some companies who have openings from mid-level prefer hiring candidates having expertise in a specific domain like Healthcare, Banking and Financial, Retail, Logistics and Supply Chain Management, Entertainment, etc.
Communication skills: To be able to efficiently communicate the technical findings to a person from a non-technical background in a clear and easy-to-understand manner either in a written or verbal format.
Problem-solving skills: Identifying problems related to data quality and integrity and developing creative solutions is a must-have skill to excel in the job.
Time Management Skills: Managing your time effectively, setting deadlines, prioritizing tasks, and managing the workload without supervision will take you places.
Tools and Technology Required for Work-from-home Data Analytics Jobs
Hardware and Software: A good computer or a laptop with good speed and storage is a primary requirement for work-from-home data analytics jobs. Basic software such as Excel, and Google spreadsheets, and Statistical Analysis software such as SAS or SPSS for conducting more complex work.
Technologies Required: R Tool, Python, Tableau, Apache Spark, MySQL, and Azure are some of the technologies that the candidate must have on the machine.
Internet Connection: Another vital requirement is a strong and reliable internet connection to ensure large file transfers.
Communication Tools: Remote employees must have communication tools such as email, instant messaging, and a webcam for video conferencing in place to stay connected with their team.
Collaboration Tools: To share files and work on projects together tools such as Google Drive and Dropbox are important.
Sample Summary of Job Description for a Data Analytics Profile
Responsible for business growth.
Building solutions using advanced predictive modeling and statistical analysis
Exposure to the application of analytics to real work problems around process optimization, prioritization, classification, segmentation, targeting, and forecasting.
Experience in building products with embedded analytics or cloud technologies.
Any experience in problem spaces such as customer analytics or campaign analytics is an added advantage.
The above parameters are to be met considering the below focus weightage
Guidance, Insights, and Growth Enablement (30%)
Organizational and Operational Leadership (40%)
Customer Success (30%)
Sample Interview Questions for a Data Analytics Profile
Prepare yourself with a thorough knowledge of the organization you are going to be interviewed at. As Data Analytics involves problem-solving, the candidate should have made a brief study of all the problems that the organization is currently facing and also research the potential problems that the organization may face. The interview questions vary depending on the level you join, from freshers, mid-level, or senior-level.
Some questions that may help –
What are the 3 phases of Data Analytics? – Raw Data, Information, and Knowledge
What are the steps in data analytics? Define Goals. Gather Data. Data Wrangling. Analysis. Comprehend Results.
What are the 7 analytical methods? Regression. Monte Carlo simulation. Factor analysis. Cohort analysis. Cluster analysis. Time series analysis. Sentiment analysis.
What is the best quality for a Data Analytics job? Good with numbers. Great IT skills. Familiar with databases and query languages. Good analytical skills. Good at solutions. Attention to detail and accuracy.
Can you co-relate Data Analytics in day-to-day life? In day-to-day life to find some solution we think about what happened last time or what will happen by choosing that particular decision. This is like thinking of what happened in the past or finding a solution for the future to decide on that basis.
A Typical Work Day for a Data Analytics Job Profile Candidate
Data is divided by a range of different criteria such as age, location, population, etc. The values of the data can be in numbers or any other category data.
Data can be collected through numerous sources which are organized for further scrutiny with the help of Excel spreadsheets or other types of software specifically designed for the purpose.
The data is then cleaned up to confirm that there is no duplication or mistake.
It is done with prevalent analysis techniques namely, cluster analysis, time-series analysis, etc.
Findings are presented in simple language in the form of a chart or graph.
Advantages of work-from-home Data Analytics Job
There are numerous benefits of remote work, and data analytics jobs are no different –
Flexibility: One of the biggest benefits of working from home in the data analytics field is the flexibility it offers in terms of timing as well as work location. Working remotely allows you to work from the comfort of your own home, a coffee shop, or a self-created or decided working space, at any time that is ideal as per convenience for those who have other responsibilities such as caring for children or elderly family members or education or when they are most productive.
Employees can manage the work according to their preferences and can work at their own pace. This helps in achieving a better work-life balance and reduces stress which is essential for employee well-being.
Save Costs: Remote work eliminates the need for a daily commute, which can save you both time and money. Money that is saved on fuel, parking, public transportation, or eating out is substantial. Work-from-home jobs in data analytics are cost-effective for employees and employers equally.
While employees save on transportation, and lunch expenses, employers, save on overhead costs incurred on rent of the office space, utility bills, and other costs associated with the maintenance of an office and still deliver high-quality work for clients. And since every penny counts this can add up to a lot of savings over time.
Increase in Productivity: Employees who work from home tend to be more productive than those who work in an office as you can work in an environment that is comfortable. The discretion to take breaks and manage your time most effectively leads to high-quality and faster result-oriented output.
Global Opportunities: Work-from-home jobs give opportunities to work with clients or companies across the globe, irrespective of your location. This enables you to have diversified work experience to add to your resume.
Access to a Wider Talent: Employers can hire employees from all over the world and no longer have to hire local talent, as they have access to a wider pool of highly qualified and experienced candidates.
Zero Commutation: Shuttling to work is time-consuming and tiring. The long hours spent in traffic or on public transport are non-productive. Working from home saves time, and energy and reduces stress.
Work-Life Balance: Working from home improves work-life balance. You get more time with your family and friends and enjoy a dedicated time for hobbies and interests, including exercise.
Disadvantages of work-from-home Data Analytics Jobs
There are some challenges we should be aware of –
Seclusion:
A human being is a social animal and hence likes to be in groups. Remote work can give a feeling of disconnection as there is no face-to-face social interaction with co-workers. This leads to difficulty in collaborating and getting feedback.
Distractions: There are many distractions in the home environment, like small children, pets, the noise of the mixer grinder or the cooker whistle, or elderly people at home watching TV at high volume which makes it difficult to stay focused.
Technical Issues: Working from home requires a strong, stable internet connection and consistent hardware and software. Technology sometimes gives away at the most crucial time, internet outages or software glitches impact productivity and performance. It is important to have a reliable backup plan ready.
Effective Communication: It is difficult to coordinate, share information, and collaborate when the team is working from different locations while trying to avoid miscommunication at the same time.
Monotonous: We may tend to work for long, irregular, and outside office hours and may find it difficult to maintain routine and manage time effectively, also it can be difficult to separate work life from personal life.
Unclear Boundaries: People constantly keep themselves involved in office work by checking emails, which can decrease job satisfaction.
Hiring Data Analytics Candidates for Work-from-home Data Analytics Jobs
Ensure you modify your resume as per the job description and have a cover letter highlighting the relevant skills and experience.
LinkedIn: It is an excellent platform for a job search in data analytics when you filter your search by selecting work-from-home data analytics jobs.
Glassdoor: It is a great job search engine to narrow your search to remote jobs with a piece of additional information like company reviews, work culture, and salary information.
Indeed: One of the popular job search websites for work-from-home data analytics jobs.
FlexJobs: As the name suggests this platform focuses on flexible job opportunities. The search for work-from-home data analytics jobs, part-time jobs, or hybrid-mode jobs in data analytics can show very good results.
Remote.co: It gives a list of remote job opportunities which can be very helpful to the candidate.
Apart from these, even the individual organization portals can have remote job opportunities where the candidates can directly apply. The demand for data analytics experts has been constantly on the rise. Also, it is predicted to grow further in the next 10 years.
You Can Choose Your Specialized Career Path Out of the Following Numerous Job Roles for Work-from-home Data Analytics Jobs:
Data Analyst:
Responsible for collecting and analyzing the data. They use statistical tools to identify trends and patterns, and they prepare reports to help businesses make informed decisions. Data analysts are responsible for collecting, processing, and performing statistical analyses on large datasets. They are also responsible for presenting their findings clearly and concisely to stakeholders.
Business Intelligence Analyst:
A business intelligence analyst is responsible for analyzing business data to identify trends and insights. They develop dashboards and reports to help stakeholders make data-driven decisions.
Business intelligence analysts are responsible for collecting and analyzing data to identify trends and provide insights that can help businesses make informed decisions. They work closely with stakeholders to understand their requirements and present findings clearly and concisely.
Data Scientist:
A data scientist is responsible for developing and implementing machine learning algorithms to analyze and interpret data. They also develop predictive models to help businesses make informed decisions. Data scientists are responsible for developing algorithms and predictive models to identify trends and patterns in data. They work with stakeholders to understand their requirements and present their findings clearly and concisely.
Data Engineer:
A data engineer is responsible for designing and maintaining data pipelines. They ensure that data is collected, stored, and processed securely and efficiently. Data engineers are responsible for designing, developing, and maintaining data architecture systems. They work closely with stakeholders to understand their requirements and ensure that the systems meet their needs.
Machine Learning Engineers:
They are responsible for developing and implementing machine learning models to help businesses make informed decisions. They work closely with stakeholders to understand their requirements and ensure that the models meet their needs.
Best Practices to Be Successful in Work-from-home Data Analytics Jobs
Dedicated Workspace: Uninterrupted work helps you to stay focused and productive during working hours. Make sure your workspace is comfortable, with a good amount of fresh light and air, and free of distractions. Also, keep water and things you may need handy so that you don’t have to get up and distract yourself.
Clear Communication: Ensure all communication channels like video conferencing, instant messaging, and email are in place to stay in touch and share information to avoid miscommunication.
Organized Schedule: Distinct bifurcation between your work life and personal life is essential. Establish and stick to a work schedule, and avoid an imbalance between the work schedule and personal responsibilities.
Acquire new skills: Updating your knowledge is essential to stay competitive in the data analytics field. Online courses or webinars are easily available to keep abreast with the latest technologies.
FAQs
What is the salary for Work From Home Data Analytics Jobs?
Salary for a fresher to mid-level ranges from 7 lacs to 15 lacs per annum.
Which all industries require Data Analytics?
Almost all industries or businesses in any domain have job opportunities in the field of Data Analytics.
Is data analytics a good career?
In simple words, YES as there is no risk or danger of jobs being extinct in this field.
Is data analytics a tough job?
The job is technically demanding, which can sometimes be challenging but can be overcome with dedicated efforts.
Which is the best geography to work in?
Remote working has brought the world closer, hence you can choose any opportunity anywhere.
Is Data Analytics considered an IT Job?
Yes. It is termed as an IT job.
Conclusion
To conclude work from home data analytics job is a satisfying career choice. It is a boon and a blessing for working women, especially who have embraced motherhood recently and don’t want to give up on their careers and efficiently manage both worlds. Also, with some prerequisites taken into consideration, any person (irrespective of his age, location, domain expertise, or experience level) can learn Data Analytics for career growth and to broaden the scope of opportunities in the work-from-home data analytics jobs market.
Whatever the size of the business, the operations of the organization are dependent on the accounts department, and the maintenance of accounts is of paramount importance. Tally professionals’ involvement is integral to the accounts department’s day-to-day work. As the tagline of Tally software suggests it has the power to simplify the complications in accounting-related work like tax filing (GST, TDS), inventory management, expense tracking, etc. Choosing from the Top 6 Tally Certifications gives an edge over others in the job market and is an added advantage for students who are pursuing B. Com, M. Com, or BBA.
Tally is the short form for Transactions Allowed in Linear Line Yards. The software was founded by Bharat Goenka and Shyam Sunder Goenka in 1986 with its headquarters in Bangalore. 80 percent of businesses use Tally software for their accounting needs.
Over 7 million customers have installed Tally software in their systems across countries. The primary objective is to conduct accounting activities comprehensively and efficiently. The Tally license has lifetime validity but requires renewal of the subscription.
The latest features and upgrades to the software are available at an affordable subscription fee. The first version was a basic DOS version that helped in the generation of invoices, and the preparation of financial statements. The second version was introduced in 1990 for Windows with better features making the interface user-friendly.
2005 saw the advent of an advanced version of Tally.ERP9 software that includes accounting, inventory management, payroll, taxation features, and GST. ERP in Tally.ERP9 stands for Enterprise Resource Planning and came in two editions – Silver (Single User) and Gold (Multi User). TallyPrime Release 2.1 is the latest version and is best for GST.
If you are interested to kickstart a career as an accountant, data entry operator, or account assistant, to name a few, you should think about adding one of the Top 6 Tally Certifications to your repertoire. Aspirants who have completed 10+2 or equivalent preferably in the commerce field can do the course. Finance, Accounts, or Business management students are best fit to do courses in Tally.
It is not a degree course. It is a certificate course with a duration of 6 months to a diploma course of 2 years depending on a beginner level or intermediate level. The course teaches making voucher entries, reconciling bank statements, making accrual adjustments, managing inventory, stock valuations, invoicing, purchase orders, discounting, etc.
Managing the business becomes easier with Tally as it tracks all business transactions and provides information on accounts receivable/ accounts payable, cash flow, etc efficiently. It saves time and reduces costs effectively.
Therefore, private as well as government companies from different sectors recruit Tally-certified candidates. The courses can be taken online as well as offline.
Benefits Of Top 6 Tally Certifications
Reduction of errors, time, and costs – Since the software is automated, there is a very minimal risk of manual errors. It also reduces the time spent and costs incurred.
Ease of operations in the business – Tally.ERP9 assists small-scale organizations assess their finances. The cumbersome task of GST filing is made easy when the information is available in GST-compliant formats. Tally software makes the job easy.
Greater Job Prospects – Tally software can be accessed remotely as well. Hence after the completion of the course, one can even find job opportunities to work from home, part-time, or full-time.
Suitability of Learning – For the benefit of students as well as working people, the course is available in both online and offline mode.
Accounting knowledge – This course improves accounting knowledge with ease of learning.
Features Of Tally
Accounts for up to 99,999 companies can be maintained.
Automate employee records by using the payroll feature
Transactions maintained in multiple locations automatically get updated for changes made.
Consolidated financial statements get generated as per company requirements.
Different languages can be selected at the same time, one to enter the data and the other to generate the Invoices or Purchase Orders. This is an important feature for businesses in multiple states.
Available in 9 Indian languages.
Some of the Certification Programs Are Listed Below to Help You Make an Informed Choice –
IIM SKILLS is one of the highly accredited institutes providing Tally Courses. The course is of 18 hours of self-learning online, 20 hours of lectures, 60 hours of practical assignments, Software Tools, and Internship opportunities. They have a dedicated placement cell and provide Govt of India Recognized Certification.
Fee: 2900/- + GST
Course Curriculum –
With the curriculum carved by the experts in the industry, the Master Tally course tutors you on fundamental and advanced concepts of Tally and is counted as the best program to learn Tally in India. The entire course is covered in 3 modules:
Module 1 – Business Accounting
Basics of Accounts – meaning, definition, objectives, scope of accounting, basic terms, accounting principles, branches of accounting, use & limits of Accounting, Concepts & Conventions, accounting information, Meaning of accounting equation, compensation of accounting, effects of transactions), Accounting Standard (GAAP), Types of Accounts.
Module 2 – Advance Tally ERP 9 and Tally Prime
Basics of Tally, Creation / Setting up of Company in Tally, Creating Accounting Masters in Tally, setting up Accounts Heads, Group & Ledger Creation, Voucher Entry, Debit & Credit Note, Creating Inventory Masters in Tally
Module 3 – Advanced Accounting in Tally
Recording of Transactions, Inventory Management, Bill Wise Details, Cost Centre and Cost Categories, Invoice Entry using voucher categories, Payment vouchers, Stock Journal, Adjusting Forex Gain / Loss, Bank Reconciliation, Interest Calculation, Creating a Group Budget, Order Processing in Tally, Sale / Purchase order processing, Display columnar orders & Stock Details, Reorder Levels, Tracking Numbers, Bill of Material, Price Levels & Price Lists, Stock Valuation, Depreciation Entries, Preparation of Trading and Profit & Loss, Preparation Account Balance Sheet, Balance Sheet Review/ analysis Ratio analysis, Columnar Report Review/Analysis Shortcut Keys.
Rank #2. Tally Certifications
2. Udemy
Udemy offers various certification courses in Tally. One of the best comprehensive courses is listed below. Course duration: 145 lectures/16 hours. 6 articles with Full-time access even on mobile and TV. At the end of the course, the candidate will be awarded a certificate of completion.
Certificate Course in TallyERP9, Tally Prime, and GST 2023
Latest Tally Erp9 and Tally Prime (Includes Tally with GST Returns), E-way Bill, Payroll, Manufacturing, Management Information System, TDS.
Course Outline –
Managing Accounting of any Company with GST Independently. Manage Payroll with PF, ESI, EPF, Statutory Payment, compute TDS & extract TDS Reports, Accounting of Manufacturing Firm, Banking, Create MIS Reports, GST Computation & Reports in Tally.Erp9 with GST, accounting of Goods Transport Agency(GTA) in Tally.Erp9 with GST, RCM – Reverse Charge Mechanism in Tally.Erp9 with GST Training, accounting of Composition Dealer under GST in Tally.Erp9 with GST Course, Avail Input GST Credit, Import & Export Entries under GST, application of GST at Multiple Levels.
Rank #3. Tally Certifications
3. Coursera
Tally Bookkeeper Professional Certificate
Course Duration: 4 months. 100 hours of training, 50+ practice-based activities, and evaluations. Enables you to work with TallyPrime with ease.
Demand for bookkeepers is very high in many industries with the focus being on various areas of accounting, finance, and taxation. This course is designed by Tally, India’s most popular and leading business management software solution company, and gives an introduction to the concepts of corporate finance, accounting, taxation, and statutory compliances, imparting the training to handle accounting transactions.
After the completion of the course, you will earn a Professional Certificate from Tally and will make you job ready. This course includes training on closing Financial Books of Accounts for the year and beginning the next Financial Year.
Working on Accounts Payable and Receivable Management. The fundamentals of Banking Solutions, Budgets, Control Management, GST working, and TDS calculations. Creating MIS Reports. Processing of Purchase and Sales orders, Stock keeping maintenance.
This Professional Certificate Program Covers 3 Courses.
Course 1: Fundamentals of Accounting and Reporting
This course is planned with concepts of computerized accounting using TallyPrime, accounting fundamentals, bookkeeping, everyday business transactions, creating accounting charts, and preparing and analyses of MIS. Record and maintain accounting transactions, Describe and manage banking payments, Generate and analyze financial statements, implement security control to protect data, and Backup and restore company data.
Course 2: Principles of Management of Accounts Payable and Accounts Receivable
The course is reliant on the knowledge and skills covered in the first course in this professional certificate, Accounting and Reporting fundamentals, accounts payable and accounts receivable management, managing purchase and sales orders, costs of purchase tracking, cost and profit management, budget creation and maintenance using TallyPrime, generating reports. To succeed in this course, completion of the first course in this program is a must.
Course 3: Statutory Compliance and Taxation basics
The course is dependent on the knowledge and skills covered in the first two courses in this professional certificate. Application of the concepts in scenarios using the TallyPrime software. Application of the concept of GST, Configure TDS. To succeed in this course, completion of the first two courses in this program, Fundamentals of Accounting and Reporting (course 1) and Principles of Accounts Payable and Receivable Management (course 2) is a must.
Years of domain expertise ensure courses and certifications are one of the best. This is one of the popular of the Top 6 Tally Certifications and Tally Courses that enhance your skills to increase chances of better job opportunities, higher pay packages, and new career opportunities. A strong network of partners provides easy access and better assistance.
Hybrid-Learning Module enables learning the course through text and interactive video content.
Digital Content includes videos, tutorial videos, quizzes, and infographics confirming a pleasant learning experience.
Assessment comprises questions such as MCQs, MMCQs, and Image-Based Questions.
The course is designed by the National Skill Development Corporation and the aspirant receives Digital Certificate from Tally.
Courses cover concepts from the basic to the intermediate level. This course is available in both online and offline models.
Flagship-Course
TallyEssential – Course Duration: 106 hours
TallyEssential course is designed for a beginner in Accounting and Finance domain. Topics from basic to intermediate Financial Accounting conceptual levels are covered. Concepts are simplified through illustrations, self-learning videos, and factual scenarios to help establish a strong career. The hands-on applications are done on the new TallyPrime software to maintain uniformity with the new releases.
TallyProfessional – Course Duration 100 hours
TallyProfessional course is designed for working professionals and people having experience in the Accounting and Finance domain. Advanced accounting and inventory to taxation including payroll and income tax are covered in this course. Explanations are by means of illustrations, self-learning videos, and actual industry-based scenarios to create a foundation for your Accounting, Inventory, Taxation, and Financial career.
The course helps understand the performance of advanced Accounting, Inventory, Taxation (GST, TDS), and Payroll. The practical application is done on new TallyPrime software to maintain consistency with the new releases.
International Courses
TallyACE International – Course Duration: 40 hours
It is designed for beginners or learners, from Middle East Countries to master Tally. It helps learners understand the basic concepts of Computerized Accounting with Tally by providing stepwise instructions. The course comes with factual business scenarios, charts, observations, and solved examples to practice on TallyPrime.
TallyEssential – Course Duration: 45 hours
International courses and certifications benefit aspirants from Middle East countries to learn intra and inter-country taxation transactions in a simple way. The course provides stepwise instructions on topics such as Recording Business Transactions, Accounts Payable and Receivable Management, Cost/Profit Centre Management, Purchase and Sales Order Management, Generation of Financial Reports, and GCC VAT using Tally.
GCC VAT Using Tally – Course Duration: 35 hours
The course is designed to help learners understand the advanced concepts of Computerized Accounting and taxation in Middle East Countries providing stepwise instructions on the Fundamentals of GCC VAT, Different VAT Supplies, VAT Activation, recording transactions of Gulf VAT, Intra GCC Transactions accounting, Purchase & Sales Returns, Advance Receipt, Import and Export from and to outside GCC Countries, etc are to be understood.
Tally Essential Oman – Course Duration: 90 hours
The course is created for the professional growth of beginners in the Accounting and Finance field. This certification helps learners to understand fundamental to advanced financial accounting concepts, using TallyPrime. The various modules include stepwise explanations for topics like GCC VAT using Tally, recording business transactions, managing accounts payable and receivable, managing cost/profit centers, managing purchase and sales orders, and creating financial reports.
The course has three distinct learning levels 1, 2, and 3. Learners can choose either of them or a comprehensive course. After course completion, learners will be competent in subjects including taxation, compliance, accounts payable and receivable, and recording and reporting.
Specialization
TDS Using Tally is a complete guide on Tax Deducted at Source (TDS) – Course Duration: 8 hours
This specialization course covers stepwise instructions starting from Fundamentals to Practical of TDS including Basic Concepts, Various TDS Processes, TDS on Expenses at Lower, Zero, and Higher Rates, TDS on Works Contract attracting GST, TDS on Income from Foreign Currency, Generating TDS Challans, TDS Reports – Form and e-filing Forms. It is structured in a format that gives the flexibility to learn at your own pace while guidance from the expert.
Rank #5. Tally Certifications
5. NIIT
Accounting with Tally.ERP9
Course Duration: 36 hours
Course Type: Classroom
This accounting program with Tally.ERP9 enables the recording of transactions and managing the account information for an organization. Undergraduates & Graduates looking to enter the accounting domain can understand the basics of Tally if they have basic IT awareness (Windows OS and PC Essentials) and can understand and converse in English. Also, preferably should have commerce in Class XI and XII.
Modules Covered:
Creating and Managing Professional Documents Using Word
Presenting and Managing Data Using Excel
Accounting with Tally.ERP9
Introduction to GST:
Course Duration: 20 hours
Course Type: Classroom
The basic concept-based course “Introduction to GST” will enable students with a Commerce background to understand GST, its implementation, and its impact on the taxation system. This course is launched in partnership with Tally, covering concept-based learning. Students should be BCom or Graduate / undertaken Commerce until Class XII Level and should have an understanding of the taxation system.
Only 1 module Introduction to GST is covered.
GST using Tally.ERP9
Course Duration: 44 hours
Course Type: Classroom
Goods and Service Tax (GST) is an indirect tax introduced in India on 1st July 2017, made applicable throughout India replacing multiple taxes imposed by the Central and State Governments.
The introduction of GST needs manpower to understand the concepts of GST and also implement it as per statutory obligations. To make students understand and work with GST, NIIT introduced a program that includes the modules of GST and increases job prospects. This program is for students who are from the Commerce stream and have knowledge of working with Tally.ERP9.
Only 1 extensive module is covered which is GST Using Tally.ERP9
Working with Tally.ERP9 – Level 1
Course Duration: 108 hours
Course Type: Classroom
Tally, has evolved from a basic accounting package into an advanced but user-friendly version. The new comprehensive package meets the needs of small to large businesses. Working with Tally.ERP9 – Level 1 program familiarizes students with bookkeeping on computers using Tally.ERP9. Students should be commerce graduates with the ability to interact in English and be comfortable with Windows.
Modules covered:
Business Process Fundamentals
2. Accounting on Computers with Tally.ERP9 – Volume 1: Basic Accounting and Inventory
3. Accounting on Computers with Tally.ERP9 – Volume 2: Advanced Accounting, Inventory, and VAT
Rank #6. Tally Certifications
6. Tally Academy
This course from Tally Academy gives a competitive advantage with globally recognized Tally training certifications. It offers multi-tier certification paths that deliver value to individuals to establish professional achievements. Certification will expand opportunities with employers by ensuring that accounting professionals meet Industrial standards. Tally Academy has 6 certificate programs to choose from:
Career Opportunities After Completion from one of the Top 6 Tally Certifications:
The job description for each of the below titles will vary as per the requirements of the employer. You can join any organization in the retail, banking and finance, manufacturing, and IT sector depending on your experience level as –
Admin Executive, Accounts Executive, Audit Executive, Financial Analyst, Accounts Manager, Tax Accountant, Tally Operator, Sales Analyst, Senior Accountant, Billing Executive, Inventory Manager, and Bookkeeper. Tally professionals also work as freelancers. There are job opportunities in the international job market too.
FAQs
What is the average salary for Tally certifications in India?
Salary in India is in the range of 2 Lakhs to 5 Lakhs.
Can Tally sustain itself in the future?
Yes, it is necessary for regular accounting tasks.
Is Tally used in all companies?
Most companies use Tally, and large-scale companies might use SAP.
What is recommended, Tally or excel?
Excel is standard, and newer technologies such as Tally. ERP 9 is for managing large data and can help you save time and effort. Tally also automates tedious tasks and prevents errors that happen while working manually.
Are work-from-home jobs available for Tally professionals?
Yes, people can even work from home since it is software that can be easily installed on a PC.
Conclusion:
This article essentially gives an overview of the Top 6 Tally Certifications under Tally accounting software that are in great demand. These courses are of great benefit to students of commerce background both freshers and experienced alike to get a job in the accounting sector. After completing the course, the knowledge and hands-on experience will be significant for your career.
Heaps of data are produced every day, every second. This data needs proper management to bring it to use. Most in-demand and invaluable people in the world today are Data Analysts. They are sought after across industries like healthcare, finance, IT, etc. The decision-making in any business scenario depends on the valuable insights given by the Data Analysts by collecting and analyzing the data and applying appropriate algorithms to help reach the right decision after a statistical analysis. Data grows exponentially, and to manage it, after a study of trends and patterns, top Data Analyst Skills come to the rescue.
Data Analysis – History and Future
Data analysis is older than the Internet. Data analysis earlier supplemented the process of decision-making. With technological advancement, data analysis will control business decisions. Ultimately, it may even balance the technological rise.
What is Data Analysis?
Data Analysis is the process of collecting large amounts of data from numerous sources to excerpt valuable insights and make informed decisions. It is done by applying algorithmic processes to find patterns and trends. The aim is to have actionable conclusions to improve business consequences.
The objective of data analysis is to organize data rationally. With globalization, every business wants to have a global presence. Knowledge of demand, competition, available resources, etc. is essential.
Data analysis is the technical study of available data from collated unstructured information to draw useful understandings, improve efficiency, increase productivity, and make business decisions. Data analysis involves six stages – Data discovery, preparation, Planning, the building of data models, communication of outcomes, and operations.
Steps in Data Analysis are – collaborating needs, creating a questionnaire, producing data, Setting KPIs, ignoring useless data, conducting statistical analysis, building data management, and Integrating technology.
Data is Evaluated Based on Quantitative & Qualitative Analysis –
Quantitative data is numerical information. E.g.: pricing, earnings, sales reports
Qualitative data is the information required for meaningful assessment – principally expression in the form of words. E.g.: inspections, interviews, or research.
Data Analysis vs Data Analytics –
It can be a misconception to many that Data Analysis and Data Analytics are the same. Data analysis is done to examine the data to understand past events in connection with the data whereas data analytics is done to find what can happen with the data in the future.
Why is Data Analysis Important?
Data analysis incredibly impacts the functioning of any organization. Some important advantages of data analysis across industries are:
It can discover information critical to achieving a business goal
Helps in identifying probable customers
Organizations can understand their market position in comparison to their competitors
Is Data Analysis a Good Career Option?
Data Analysis has become a necessity in not just IT but all sectors like e-commerce, Manufacturing, Telecommunication, Banking, Finance, and Consulting. Even Government organizations are using data analysis tools to make precise decisions. Demand for Data Analysts has gone up across sectors.
Due to digitalization, companies strive to devise a methodology to manage the data generated constantly. Data Analysts provide valuable insights to benefit businesses. Starting a career as a Data Analyst is a rewarding career option as there is a growing demand for experts in Top Data Analyst Skills.
The salary is comparatively higher and competitive, the opportunities for data analysts are varied, and in almost all fields, the work of data analysts is exciting and challenging Top Data Analyst Skills can be applied to all industries and in any normal day-to-day working.
Locating, exploring, collecting, processing, and performing analysis of large datasets is done by Data Analysts. All organizations collect data in some form or the other, viz customer feedback, surveys, reviews for products or services, accounts, marketing research, etc.
A data analyst takes this data to figure out several measures, to improve customer experience, pricing, reduction in costs, etc. Working and preparing a Tableau dashboard, coding to illustrate patterns, and presenting the findings and recommendations.
Who Should Learn Top Data Analyst Skills?
This versatile field can be beneficial to many professionals.
Business professionals: To achieve better decision-making and improve performance by gaining insights into client conduct, trends and patterns in market demeanor, and operational value.
IT professionals: To improve the performance of IT systems, detect security threats, and enhance infrastructure.
Marketing professionals: To improve promotion drives, and measure the efficacy of marketing efforts.
Operations professionals: To improve SCM (supply chain management), improve industrial processes, and cut costs.
Finance professionals: To identify trends in fiscal data, and make improved investment decisions.
Healthcare professionals: To improve the performance of healthcare systems by reducing costs.
Researchers: To analyze, identify patterns, and make new findings.
Entrepreneurs: To find a new business opportunity
Who Can Be a Data Analyst?
STEM (Science, Technology, Engineering, and Mathematics) qualifications and training are necessary to acquire the basic skills for this profession.
Fresh graduates: Aspirants from engineering, science, or commerce backgrounds can become data analysts with the help of certification. Data Analysis Certification will help you acquire the required skills and the advantages of a data analysis certification are:
Improve the repertoire of the skills in your portfolio
Learn the advanced analytical techniques and processes crucial for a candidate with Top Data Analyst Skills e.g., data mining, cleansing, and processing
Attain proficiency in popular data analysis tools and software in business usage
MBA/Finance/Engineering graduates: The data analyst role can be a good fit for MBA/finance/engineering graduates post learning the Top Data Analyst Skills.
Software Developers, IT Analysts, and Test Analysts: Moving to the roles of data analysts is easier for this lot as skills, including knowledge of programming languages, tools, and methods are common. Professional certification in data analysis can be an extra edge.
System/Database Administrators: With the requisite skills these people can work as Data analysts as most companies are making use of data to make business decisions.
Non-experienced professionals: Recruiters can hire an inexperienced candidate as a junior data analyst or an entry-level professional. Candidates taking up a certification course can switch to higher-level positions.
Experienced professionals: It is comparatively easier to find a job in the Data Analysis field for an experienced professional.
Qualifications and Pre-requisites –
Strong mathematical skill is a primary requirement to be able to build a career as a Data Analyst. Familiarity with statistical software packages such as SAS, R, or SPSS. Excellent communication skills for effective presentation. A full-time, four-year bachelor’s degree course in statistics, computer science, or mathematics is necessary to become a data analyst. The certification course will be an added advantage to becoming a Data Analyst.
Check here for the professional data analytics courses for career growth:
They need specific technical skills to succeed in their field but, those in this profession also need some other skills listed below. We take you through varied skills broadly classified into two categories viz; Technical and Non-Technical
Technical Skills –
Domain Knowledge: Understanding how things are done in a particular industry or organization will enhance your domain knowledge. It is to be learned and developed on the job. However, an added advantage is a 30-foot overview of a particular industry you wish to work in. The person should know what he or she needs to analyze, to be able to do the job efficiently. So, domain knowledge is one of the Top Data Analyst Skills.
SQL (Structured Query Language): In the data analysis area, SQL is the standard and formal database language. It allows to update and collect specific data. It’s used to process large databases that can’t be managed by spreadsheets. Therefore, most data analyst jobs require a knowledgeable SQL person. The language is an advanced version of Excel and can handle large datasets that are beyond the purview of Excel. Almost all organizations need someone who knows SQL either to manage and store data, or build or change database structures. Writing complex queries to extract data depicts proficiency in SQL. Major job postings require SQL skills as one of the Top Data Analyst Skills to study.
Spreadsheets: Despite advancements like SQL, spreadsheets remain the go-to tool because of their simplicity, ease of use, and most importantly extremely useful. Over the years, organizations across different industries have preferred reports on spreadsheets. There are lot many things to learn and uncover under advanced Excel methods like writing Macros and using VBA lookups etc. Excel is used by approximately 75+ crores worldwide. “Excel skills” find their place in the qualifications section of the job postings. Excel is automating some features for data analysis. Excel has VBA as its programming language, which is used to create macros. VBA is time-saving if deployed correctly, for repetitive tasks such as accounting, and payroll.
R & Python: Any task that can be performed by Excel can be performed by R and Python in a better and faster way. They are programming languages acceptable as per industry standards that are used to perform advanced analysis on a larger chunk of the data. R and Python are built specifically for analysis and are both open-source and free. R is the preferred language and has ranked fifth amongst the top 10 programming languages in 2019. Any aspiring data analyst should learn Ror Python on priority. Python’s applicability to Artificial Intelligence development is important.
Machine Learning: Though proficiency in Machine learning is not a mandate, machine learning has now become an important expansion in data analytics. Building algorithms to identify big data sets and process the data gives a competitive edge. Not every analyst is required to work with machine learning but having a fair idea is important to get ahead in the field.
Data Cleaning Skills: Data Analysts should possess data cleaning skills as a primary skill which includes quality issues, and missing or duplicated data, and then fix these issues through cleaning techniques.
Data Visualization and Reporting Skills: Data analysts generate reports to summarize the findings, and briefly present them with clarity for easy understanding. Analysts present data in eye-catching, high-quality charts graphs, and illustrations to make impactful understanding at a glance to help organizations make better decisions. Data visualization has become a necessary skill. Proficiency in using tools such as Tableau, Power BI, and QlikView enables data analysts to create easy-to-understand, meaningful insights, interactive dashboards, charts, and graphs to visualize dat
Problem-Solving and Critical Thinking: Data analysts should be able to analyze data identify patterns and extract information through in-depth thinking. Data Analysts may run into different kinds of problems in their day-to-day work but being able to find innovative solutions to the problems with limited available resources is an essential skill for a data analyst. Using data to find solutions or alternative solutions to your problems can sometimes be quite tricky. Data analysts need to evaluate the pros and cons of each approach while making complex-looking data in simpler versions.
Attention to detail: Identifying the smallest hints hidden in the data is a key skill in Data Analyst. This especially is helpful while setting up the right processes for sorting data. Data analysts should be particular and have strong attention to detail by ensuring data is precisely entered, cleaned, and evaluated as trivial errors can have substantial effects. They should be able to identify errors in the data and ensure accuracy and data quality after cleaning and processing.
Time Management Skills: To meet result-oriented deadlines with quality in the work time management skills are of high importance. It involves task prioritization, setting realistic timelines, and communicating expectations. Prioritization of the task based on its importance and urgency is an added skill.
Data Security and Privacy Skills: Data analysts should devise methods to implement best practices to protect sensitive data.
Continuous Learning: The data analysis field is constantly developing, so data analysts need to keep abreast with new tools, techniques, and best practices. This can be done by attending conferences and engaging with the data analysis community.
Research: Data analysts don’t always get the data readily available for the next set of actions, they have to research to collect the information. For the interpretation of the raw data, data analysts put efforts into additional research so that the findings can be articulated in an easy-to-understand format. Also, data analysts research the latest industry norms to process data better.
Communication Skills: Collaboration with your colleagues or clients becomes next to impossible without communication skills. Explaining complex data and patterns to a non-technical person requires excellent oral communication skills. Writing reports about the findings and recommendations requires exceptional written communication skills. Presenting data and analysis results by communicating it effectively helps organizations make the right decisions.
Business Acumen: A strong understanding of the industry, the business, its products and/or services the company’s goals and objectives, its competitors, the challenges that the company is currently facing, and the difficulties it might face in the future is very important to effectively identify areas where their inputs can add value and support business decisions.
Team Player: Data analysts work with different people from different levels to get the job done and to guide the company in achieving its goals and objectives.
Statistical Analysis and Modelling Skills: Regression analysis, hypothesis testing, and clustering are the techniques used to analyze data and discover trends and patterns. Experience with predictive modeling, using statistical techniques aids in making predictions about future events.
Types of Data Analysts –
Quantitative analysts: They use Excel, Python, and R to analyze and find patterns within large datasets
Market research analysts: They guide the organizations to understand the market they function in
Business analysts: They use data to analyze business processes and assess the business model
Business intelligence analysts: They use large historical datasets to regulate what happened in an organization
IT systems analyst: They use data to create and maintain systems.
Operations research analysts: They use data to decide about operations.
Medical and healthcare analysts: They use data to analyze medical results and advance patient care.
Intelligence analysts: They use data to analyze patterns affecting a nation’s security, like terrorist movements.
Different Responsibilities of a Data Analyst Include –
To work in collaboration with IT, and management teams
To regulate organizational goals
To dig data from sources
To clean the data and discard unimportant information
To understand results using typical statistical practices
To highlight trends and patterns in data sets and forecast
To plan improvement in the process
To guarantee data visualization
To design, create, and maintain a relevant and useful database
To prioritize tasks
To create dashboards, graphs, and visualizations
To maintain the database
A Few Questions and Suggested Answers That May Help You Crack the Job Interview From Freshers to Intermediate to Candidates From Higher Experience Brackets –
What is “Data Wrangling” in Data Analysis?
It is a process of eradicating errors and merging data sets to make them accessible and easier to analyze
What is Data Validation?
It is a process of checking and ensuring the quality and accuracy of data
Explain the best Data-cleaning technique
Remove unnecessary values, duplicate data, and typos, alter data types, search for missing values, use clear format, interpret language, remove unwanted exceptions.
What is time series analysis?
The precise way of analyzing data collected at consistent intervals rather than intermittently or randomly.
What are the properties of clustering algorithms?
Hierarchical or flat. Hierarchical algorithms induce a hierarchy, decreasing generalization, flat algorithms, all clusters are the same
Explain the involvement of collaborative filtering
Collaborative filtering is a technique used to filter out items based on the conduct of similar users. Eg. Amazon suggests items or products which match the choices as per previous purchases.
Explain Univariate, Bivariate, and Multivariate Analysis
The purpose is to study the relationship among the variables. Univariate analysis studies one variable, bivariate studies two variables and the relationship between them, and multivariate studies more than two and the connection between them.
What is Metadata?
In simple language, it means data about data or information about various aspects of the data.
Name some frequently applied statistical techniques
Two main statistical techniques are mainly used by data analysts: descriptive statistics, which summarizes data using indexes, and other is inferential statistics, which concludes from data.
Some of the bigwigs who recruit candidates with Top Data Analyst Skills are Google, Amazon, Facebook, Microsoft, IBM, Apple, Uber, Netflix, Airbnb, and LinkedIn.
FAQs:
Below are the FAQs about the data analyst skills.
Which are the data analysis tools?
A few data analysis tools that can be learned are R, Python, Tableau, SAS, Apache Hadoop, and MS Excel.
What are the different kinds of jobs in the Data Analysis field?
Data Analyst, Data Scientist, Data Engineer, Data Analytics Consultant, Operations Analyst, Marketing Analyst, IT Systems Analyst, etc.
How much do Data Analysts typically earn per annum?
The average salary of a candidate acquiring Top Data Analyst Skills for fresher to 10+ years of experience is approximately 5 lacs to 20 lacs.
What is better, SQL or Python?
The performance in SQL is better and faster than in Python.
What is a PAC model?
PAC model means Plan, Analyze, and conclude is a framework used to conduct a thorough analysis.
Conclusion –
Till the point technology continues to evolve, the data analysis profession will have no dearth of opportunities. Automated solutions, increase the demand for data analysts. To have a great and rewarding career in Data Analysis, acquiring and honing these Top Data Analyst Skills, will be a boon for the aspirants in the job market. So, are you ready to take a step forward in this ever-growing field? Start with learning data analyst skills.
Money matters to those who deal with monetary matters (financial factors). For investors money is not just cash or the bank account balance that they look out for, they like to explore new zones giving them higher returns, and for that investors need advisors. In the last decade investment banking transactions have increased significantly. In this article, we will give an overview of this career option that can awaken your interest in the investment banking sector. Statistics on Investment Banking Fresher Jobs will evoke your thoughts to grab the opportunity in this lucrative field.
Investment Banking is a service industry in the finance sector, working as a financial advisor, endorsing securities transactions, and facilitating mergers and acquisitions. Such banks generally work with corporations, governments, and other institutions to help them increase investment by issuing and selling securities, such as stocks and bonds, and providing advisory services on mergers, acquisitions, and other strategic transactions.
Commercial Banking vs Investment Banking –
Commercial Banks cater to the public in general, whereas Investment Banks cater to Investors, corporations, and government. Commercial Banks deal in services like deposits, mortgages, and lending loans while Investment Banking deals with services like asset management, raising capital, brokerage services, underwriting of securities, advisory services, mergers, and acquisitions.
Commercial Banks earn profit from the difference between the lending and the deposit interest rates and Investment Banking earns from the charges they levy on the different services they offer. The risk involved in commercial banks is comparatively lower than in investment banks.
There are three types of investment banks based on their size – Bracket banks, Middle market banks, and Boutique banks.
Investment Banking Can Be Divided Mainly Into Four Areas –
Corporate finance: It involves helping customers raise investment by underwriting and issuing securities. In this case, the investment banker purchases the securities from the issuer and sells them to the investors
Sales and Trading: It involves buying and selling securities on customers’ behalf, and providing risk-management services. In this case, customers include corporations, institutional investors, hedge funds, and high-net-worth individuals (HNI’s)
Equity Research: It involves the analysis of stocks to make informed investment decisions in equity. To conclude this analysis, the research includes the study of industry trends and patterns, market forecasts, etc.
Asset Management: It includes the process of maintenance, upgradation, or disposal, of assets in a cost-effective manner. This also includes managing the investment portfolios of the customers
Merger & Acquisitions: It involves providing advisory services for mergers, acquisitions, or even divestments. In this case, the investment banker helps customers evaluate probable acquirers and negotiate and structure the terms and conditions of the transaction.
Investment banks play a pivotal role in the evolvement of financial markets by providing liquidity, creating financial products, etc. They deal with securities, equities, bonds, and derivatives. They offer research and analysis on industries to help investors make informed decisions.
Organizational Structure of Investment Banks –
The organizational structure of investment banks differs depending on the size, geographical location, etc of the investment bank. The organizational structure of an investment bank is usually classified into three main categories i.e. front, middle, and back office.
Front Office: It comprises departments like sales trading, and research. This category is responsible for providing insights and analysis on financial markets, advisory services on mergers and acquisitions, IPOs, and other commercial activities, and buying and selling securities on behalf of customers.
Middle Office: This category supports the front office and includes departments like risk management, compliance, and technology. The role of this category is risk mitigation by identifying risks associated with day-to-day activities, ensuring operational compliance with regulatory requirements, and providing requisite technological infrastructure to support the bank’s activities.
Back Office: This division is responsible for the operational and administrative functions of the bank and includes departments like finance, human resources, etc. This division is responsible for handling the bank’s securities inventory, financial and accounting reporting, and recruitment, training, and management of the employees.
Additionally, private wealth management or asset management divisions are also part of some investment banks that provide investment guidance and services to HNIs (high-net-worth individuals) and manage portfolios of institutional investors.
Roles and Responsibilities of Investment Bankers –
Financial Analysis: Examination is done using financial modeling techniques to assess the possible viability and perils connected with a project or investment.
Business Development: Investment bankers are responsible for creating new business prospects by using the network.
Deal Execution: Investment bankers are responsible for executing deals related to mergers, acquisitions, underwriting, and fundraising. This involves working with attorneys, accountants, etc to ensure the successful completion of the deal.
Client Relationship Management: Building and maintaining relationships with the customer is one of the key responsibilities of Investment bankers. Another responsibility is to provide constant support and assistance to the customers and ensure satisfactory services.
Qualifications –
Simple steps to follow for a career in Investment Banking:
Complete 10+2 or HSC with more than 50 percent aggregate from a recognized university
Get a bachelor’s degree
For more weight earn a master’s degree
Attain relevant certification
Pursue internship
Find a job
MBA (Finance) vs CFA vs CA for Investment Banking Fresher Jobs –
Some companies prefer MBA (Masters in Business Administration) candidates, especially for more senior positions. Internships with investment banks, asset management firms, or other financial institutions are appreciated as they provide practical experience. Professional certifications like the Chartered Financial Analyst (CFA), Financial Risk Manager (FRM), and Certified Investment Management Analyst (CIMA) designations are an added advantage.
The postgraduate program by the National Stock Exchange (NSE) in investment banking is for Investment Banking Fresher Jobs, the course includes the study of capital markets, banks and financial planning, business analytics, and management accounting is good to have. It takes six to nine months to complete the course and to be eligible for further steps toward a dream job.
A Chartered Financial Analyst (CFA) professional qualification helps candidates pace up their career as an Investment Banker as the course is planned with a focus on investment and wealth management. The subjects offered for study include Economics, corporate finance, derivatives, equity investments, financial reporting, and analysis.
This is a postgraduate program, and the course duration is based on the candidate’s performance. It is a minimum of 1 year and goes up to a maximum of 4 years. Chartered Accountant (CA) is the toughest course. Its main focus is on accounting, taxation, auditing, etc.
Therefore, to become an investment banker, candidates having a degree in MBA (Finance) or CFA are preferred over CA’s.
Types of Investment Bankers –
A Financial Planner helps individuals and corporations plan for their long-term financial goals after considering budget, risk tolerance, age, and financial and professional status. A financial planner then advises on retirement, tax, insurance planning, etc.
The Credit Manager has to analyze and evaluate the creditworthiness of customers, to avoid bad debts.
Certified Management Accountant is knowledgeable in the areas of financial planning, and analysis. They work for varied organizations, NGOs, academic institutions, governments, and MNCs alike.
The accountant ensures the company’s expenses are in control.
Financial Advisor creates a plan and helps reduce expenditures, pay off their liability, and save and invest.
Account Manager maintains relationships with clients.
Intern: Though the freshers work on short-term projects as interns they gain a lot of exposure to the investment banking industry through this opportunity.
Analyst: Fresh graduate hired by investment banks. Their job is to research and analyze the companies and industries, create financial models, prepare reports, and presentations, and provide support in the working of the bank.
Associate: Generally, laterals i.e., experienced candidates are hired in this category. They are responsible for handling projects and coordinating with associates from different departments and/or external parties. They are also responsible for overseeing the work of the analysts.
The Roles and Responsibilities for Investment Banking Fresher Jobs Are –
Review and analyze reports
They perform daily financial calculations and estimate the performance
Create presentations and proposals
Issue securities, bonds
Guide on IPO and issue of securities
Analyse and assist in mergers and acquisitions
Ensure compliance and adherence to the governing body
Guide the financial portfolio
Undertake dealings in equities, and bonds, for institutional investors
Investment Banking Fresher Jobs, Tips for Aspirants –
Networking: Building a strong network is essential in the investment banking industry including alumni, instructors, and professionals in the industry. Aspirants should attend career fairs, and events, watch informational interviews, and meet people in the industry.
Experience: Recruiters prefer candidates who try to gain relevant experience in accounting, finance, or business through internships.
Degree: Candidates having a degree in finance, or economics, will be favored by the recruiters in comparison to others.
Resume: It should highlight relevant experience, skills, and accomplishments. One can even make a tailor-made resume for the specific job position.
Sharp Interview Skills: Aspirants appearing for an Investment Banking interview need to have excellent skills. For that, practicing behavioral and technical questions is also a part of getting ready for the interview. Preparation for the interview also includes researching the company and its products or services.
Apply for positions: Keep a tab on entry-level open positions by Investment Banking Freshers Jobs, including analyst, associate, and junior positions. Investment banks prefer applicants with strong academics, excellent communication skills, and a flexible approach.
Looking for financial modeling courses? Here are the best ones for you:
Skills Essential for Fresher Jobs in Investment Banking –
Academically strong: Candidates having a degree in finance, accounting, economics, or business administration with a good percentile are preferred.
Analytical skills: Candidates having strong mathematical skills are required for quantitative analysis and are preferred by recruiters. They should be able to study data and perform intricate estimation analyses.
Communication skills: Strong written and verbal skills are quintessential for Investment bankers as otherwise collaborating with clients and colleagues in clear, concise, simple language that is understandable to the common man will become very difficult.
Attention to detail: The job of investment bankers involves dealing with complex financial transactions. Candidates should have scrupulous attention to detail as even trivial errors can have a significant impact.
Teamwork: Working in collaboration with colleagues and clients is essential as they have to successfully close complex deals together.
Problem-solving skills: The thinking ability should support the nature of the work i.e., solving complex financial problems with critical thinking in a structured and logical manner.
Hard work: It is a demanding industry that requires dedication and long hours of hard work
Time management skills: Investment bankers need to be multitaskers to become successful in their careers and thus require time management skills to achieve them.
Commercial awareness: Identifying opportunities and risks for the clients is easier when the candidate is aware of current market trends and economic conditions;
Excel skills: Investment bankers should be well-versed in Excel to be able to analyze any financial data and build financial models.
Like any career, there are both pros and cons to pursuing a career in investment banking. Some of them are listed below:
Pros –
Professional development: The opportunities available in Investment Banking can lead to rapid professional development. The chance to work on distinguished deals leads to exposure and gain the confidence of senior executives.
High income: Investment banking is synonymous with high salaries and bonuses. This can significantly increase as the candidate progresses in their career.
Reusable Skills: The analytical skills attained in Investment Banking Fresher Jobs can be treasured and reprocessed in different industries.
Dynamic and Rewarding work: Investment banking is stimulating and budding which can be exciting and rewarding.
Cons –
High stress: Workload and the pressure to achieve can lead to high levels of stress. This is applicable, particularly to over-ambitious people.
Work-life balance: This is an evolving field and can demand working for long hours which makes it difficult to maintain a work-life balance.
Stagnation: The services offered by Investment Bankers are limited hence having variation in the work can be difficult.
Competition: Growth in this field can become sluggish after a point due to its highly competitive nature.
Job Description for Investment Banking Fresher Jobs –
The below job description is to give a fair idea while preparing for the interview. The candidate can also make changes to the resume, and cover letter accordingly.
Issue debts and sell equities to raise capital
Research on investment opportunities
Assess valuations for customers and higher management
Provide expertise in mergers and acquisitions
Assist in IPOs.
Support in investment and financial planning decisions
Create presentations for customer portfolios
Assist in preparing quarterly reports
Manage client interaction, from the sales pitch to the investment bond
Conduct research and develop industrial relationships
Investment Banker Qualifications/Skills –
Strong communication, time management, and networking
The capability of working in a fast-paced setting
Knowledge of regulations
Team oriented
Education and Experience:
Bachelorette degree in business, finance, economics, or in a similar field
CFA is a plus
Employment Process –
Common steps in the employment process followed for Investment Banking Fresher Jobs:
Apply online: Candidates need to apply online. They must also attach their resume, cover letter, mark sheets, certificates, and the online application.
Test: Investment banks can arrange for aptitude tests which include assessments based on numerical, verbal, and logical reasoning.
Assessment: Candidates are required to attend and clear group discussions based on case studies at the designated assessment center.
Interview: Candidates clearing the test and assessment are invited for an interview round with an HR representative.
Final interview: Candidates are then invited to a final round of interviews with senior management.
The candidates should be prepared with information about the organization, its business goals, leadership, vision, etc, they are going for the interview. It is also important to research the existing and probable competitors. Below listed are some interview questions that can be asked in Investment Banking Fresher Jobs and the probable answers which the candidate can elaborate further –
Why investment banking, what interests you in this field?
Answer: Finance helps in shaping the economy. Investment banking raises capital by making strategic business decisions. Opportunity to work and learn from talented professionals and contribute to the success of the firm.
Why do you think, makes you suitable for this job profile?
Answer: Strong analytical skills and a good understanding of finance and mathematics. Fair experience gained from internships and efficient communication skills.
How do you keep yourself conversant with current developments in this field?
Answer: Regular subscription to read financial news publications, such as the Wall Street Journal, The Economist, Money, or Forbes helps to stay updated on current industry developments. Attending events and conferences. Follow mentors and experts in the field on social media.
How is the financial statement analysis conducted?
Answer: Analysis of income statement, balance sheet, and cash flow statement to assess organizations’ economic health. Evaluate financial ratios, for comparative study with competitors. Make recommendations.
What do you think are the challenges faced by the investment banking sector?
Answer: Challenges in the Investment Banking sector can be described as the three C’s – Competition, Compliance, and Changes in the Economy. Competition is the biggest challenge, followed by adherence to compliance, and the impact of changes in the economy on growth. However, these challenges can also work as a push for innovative ideas.
Why do you wish to work in the investment banking sector?
Answer: It’s a highly in-demand and ever-evolving sector.
Which important qualities make up for a successful career in investment banking?
Answer: Analytical, Time Management, Communication skills, and teamwork are a few of the important qualities required for Investment Banking Fresher Jobs.
Top Recruiters For Investment Banking Fresher Jobs –
Goldman Sachs: It is one of the chief investment banks in the world. They recruit the topmost talent. They recruit freshers based on academics and performance in the internship.
JPMorgan Chase: It is one of the largest investment banks in the world and has a strong standing as they recruit trainees, freshers, etc.
Morgan Stanley: It is an international investment bank that is known for recruiting freshers for several roles.
Citi: This investment bank is known for its proficiency in mergers and acquisitions, equity, debt markets, and other financial services. With its strong presence across, it is known for recruiting freshers.
Bank of America Merrill Lynch: One more global investment bank providing a variety of financial services and is also known for recruiting freshers.
Credit Suisse: It is known for providing services in wealth management, investment banking, other financial services, and opportunities for freshers.
Deutsche Bank: It provides extensive financial, hedge funds, venture capital, and asset management services to clients around the world and also recruits freshers for various roles in investment banking.
UBS: Based in Switzerland and is known for services in wealth management, investment banking, other financial services, and opportunities for freshers.
Barclays: It provides a range of financial services and is also known for generating opportunities for freshers for various roles in investment banking.
HSBC: HSBC is a global bank that provides a range of financial services, including investment banking, and also recruits freshers.
FAQs About Investment Banking Fresher Jobs
Which is the best Investment Bank in the world?
Goldman Sachs is 150 years old and the most prestigious investment bank in the world.
Which country is the best for Investment Banking?
The United States of America is the best for Investment Banking and New York is the global financial hub.
What are the 3 functions of investment banks?
The roles of investment banks include endorsing IPO (Initial Public Offering) or new issues, supervising mergers and acquisitions, and acting as financial advisors.
What are the 4 divisions of investment banking?
An investment bank’s front office comprises mainly 4 divisions including Investment Banking or Corporate Finance, Sales and Trading, Equity Research, and Asset Management.
What is the salary range in investment banking?
Investment Banking Fresher Jobs Salary in India starts from ₹ 2.5 Lakhs and goes up to ₹ 30 Lakhs as per experience with an average annual salary of ₹ 5.0 Lakhs.
Conclusion –
Do you want to help beat inflation and assist in comprehending the options available to do so, with the help of your knowledge and skills? Applying to Investment Banking Fresher Jobs and making a career in it can be rewarding and challenging then. By building skills, and networks to get into internships and gain experience, the chance of getting selected for the dream job increases manifold. Finance and business graduates, the most coveted career in Investment Banking await you!
