Top 10 Tally Training Institutes in India With Placement

For any business, be it small or large, you can imagine the difficulty in keeping track of day-to-day business activities like expenses, profits, investments, etc. manually in a notebook. It’s a human tendency to miss or forget something to write everything accurately or end up doing wrong calculations manually. However, for any business, it is very important to be accurate in these day-to-day accounting activities. The Tally software offers a powerful solution for all these hassles. The word Tally itself means a continuous count of something. This blog is about Tally training advantages, career prospects, and leading Tally training institutes in India. 

 

List of best tally training institutes in India

 

What is Tally?

Tally is a very famous and successful accounting software widely used in India for day-to-day accounting business activities. The software name, Tally, is an acronym for Transactions Allowed in Linear Line Yard.

Tally Solutions Pvt Ltd is an Indian multinational technology company that provides this Enterprise Resources Planning (ERP) software. Millions of small as well medium scale businesses across India use this business management software. Tally software provides the following business management assistance:

  • Accounting
  • Finance
  • Inventory
  • Sales
  • Purchase
  • Point of sales
  • Manufacturing, costing, job costing, and payrolls management
  • Compliance capabilities for excise, Tax Deducted at Source (TDS), Tax Collected at Source (TCS), and now Goods and Services Tax (GST), too

 

Tally.ERP 9 is a widely popular version whereas TallyPrime is the latest version of Tally.

 

Why Tally for a Career?

Tally is the best option for those who want to pursue a career in the field of accounting. Further, most of the multinational companies (MNCs) in India use the Tally software for managing business accounts. Having proficiency in this software will be a valuable addition while applying for jobs in MNCs or while managing your own business efficiently if you have any. 

 

Tally Training: Eligibility Criteria and Duration

Learning Tally software is best suitable for candidates who are already in or want to enter the fields of finance, accounts, business, and business management. However, students should fulfill the following eligibility criteria:

  • One must have 10+2 passing or equivalent qualifications with a minimum of 50% marks
  • One should preferably have a commerce background, although anyone with other backgrounds is eligible, too
  • Anyone having a bachelor’s degree can also choose the Tally training program for a boost in careers
  • Basic knowledge of accounting and management is preferred

 

A Tally course can be completed in 1-4 months whereas a diploma in tally needs 1-2 years to complete. The duration of tally training certification and diploma differs from institute to institute. Tally training can be done online as well as offline mode. 

 

Jobs Options After Tally Training

Once you have completed professional courses like tally, a plethora of jobs opens doors to make successful career opportunities in most multinational corporate companies, banking sectors, and everywhere else where there is a need to manage accounting and finance. Some of these job roles are enlisted below:

 

1. Tally Operator

For this role, obviously one must have Tally proficiency. The role of a Tally operator is to verify and tally payments received from customers, execute Tally clerical functions to accounts and sales department, make entries on the Tally for every purchase, and sale, managing the receipt and payment section of the organization. 

 

2. Tally Accountant 

It mainly deals with maintaining account records, handling cash, preparing bills and receipts, and requests for payments in Tally. Tally accountants must be proficient with all types of service taxes like TDS, TCS, professional tax, etc.

 

3. Tally Data Entry 

Their responsibilities include receiving and processing all invoices, verifying and tallying all payments, stock maintenance, Tally backup and synching, and maintaining records of received and debited money in the Tally.

 

4. Tally Audit Executive 

They are responsible for supervising money going in and out of the organization and keeping its records in Tally. They mainly deal with collating, checking, and analyzing Tally data, and examining company accounts and other financial systems. 

 

5. Tally Financial Analyst

It mainly studies business and financial data in Tally. They involve in developing financial models based on analyzed data, helping companies in financial policymaking. They study and analyze the financial trends of the company and accordingly give recommendations to the company.

 

6. Tally Account Manager

It involves calculating taxes and returns and maintaining their timelines. They prepare monthly financial close processes, and accurate financial statements in Tally, analyze financial discrepancies and other issues that should be reported, and reconcile balance sheet accounts.

 

7. Inventory Manager

It deals with simplifying stock management, organizing inventories batchwise and lots, warehouse management, manufacturing, and preparing and delivering online reports accurately. With the help of Tally software, the inventory manager ensures sufficient stocking, avoids overstocking, and reduces the handling costs of products. 

 

8. Tally Freelancers

Tally freelancing is a relatively newly emerged career option after completion of Tally training. In this context, freelancing is instead of serving only one company, one can provide different accounting services to multiple customers simultaneously. If someone is expert in Tally services and passionate about teaching also, he/she can combine freelancing Tally services with guiding students about the Tally software.

 

Top Recruiters 

After completion of a certification course in Tally or a diploma in tally, the following multinational corporate companies are the top recruiters for the different job roles discussed above. The list of some of the top recruiters is:

  • IBM India 
  • Accenture
  • Reliance Industries
  • Deloitte
  • Genpact
  • KPMG (Klynveld Peat Marwick Goerdeler) 
  • BDO International (Binder, Dijker and Otte)
  • SS Kothari Mehta & Co.
  • Smith and Williamson
  • Ernst and Young

 

Tally Job Roles and Salary Ranges

After completion of the Tally certification course, salaries vary with certification type, job role, recruiting company, and experience. The following table gives a rough idea about the salary ranges for different jobs after completion of the Tally training.

 

          Job TitleSalary Range per Annum
Tally Operator0.1 Lakhs – 3.3 Lakhs
Tally Accountant0.1 Lakhs – 3.6 Lakhs
Tally Data Entry0.2 Lakhs – 3.0 Lakhs
Tally Audit Executive1.2 Lakhs – 9.5 Lakhs
Tally Financial Analyst4.0 Lakhs – 6.7 Lakhs
Tally Account Manager2.6 Lakhs – 15.0 Lakhs
Inventory Manager1.8 Lakhs – 9.0 Lakhs
Tally Freelancer2.0 Lakhs – 7.0 Lakhs

 

You may also want to learn Business Accounting and Taxation Courses in India

 

Features of Tally Software

  • Invoicing and Accounting
  • Inventory Management
  • Insightful Business Reports
  • GST and Taxation
  • Credit and Cash Flow Management
  • Multitask Capabilities
  • Go To Tools
  • Banking
  • Access Business Data Online
  • Secure Data Policy

 

Top 10 Tally Training Institutes in India

In India, short-term (1-4 months) Tally training is available in almost every part of the country. In addition to this, long-term (1-2 years) Tally diploma course options are also available.

 

1. National Institute of Information Technology NIIT (Multiple locations)

NIIT is an education-oriented organization offering courses in various fields like software & technology, data science, marketing, banking & finance, etc. Its headquarter is in Gurgaon, India. However, NIIT has countrywide centers offering these courses. It offers two short-term Tally courses namely: Accounting with Tally.ERP 9 and Working with Tally.ERP 9 Level 1.

 

  • Accounting with Tally.ERP 9

Course Curriculum:

  • Creating Documents Using Microsoft Office Word
  • Managing Data Using Microsoft Office Excel
  • Accounting with Tally.ERP 9

 

Mode: Classroom

Duration: 36 hours of Video lectures

Certification: Students earning minimum credentials will receive a certificate with the name “Certificate Programme in Accounting with Tally.ERP9”.

 

Eligibility Criteria:

  • Any graduate or undergraduate willing to enter the field of accounting
  • Basic computer knowledge
  • Ability to understand basic English
  • Preferably with a commerce background

 

Highlights of the Course:

  • After completing this course, students will be able to manage his/her own day-to-day financial tasks like financial analysis and report-making.
  • Veteran industrial experts for teaching 

 

  • Working with Tally.ERP 9 Level 1

Course Curriculum:

  • Business Process Fundamentals
  • Basic Accounting and Inventory with Tally.ERP 9
  • Advanced Accounting, Inventory, and VAT with Tally.ERP 9

Mode: Classroom

Duration: Videos of 108 hours 

Certification: Students successfully completing the course with minimum or more credentials will receive the graded certificated, and the rest of the students will receive a participation certificate. 

 

Eligibility Criteria:

  • Commerce graduate
  • Basic English communications
  • Basics of Windows and computer

 

Highlights of the Course:

  • Veteran industrial experts for teaching 
  • Building a strong foundation of Tally.ERP 9 

 

2. Tally Academy

Tally Academy by Tally Solutions, a designer of Tally software, offers six different certifications in Tally. It doesn’t provide course training. However, a minimum of 75% of profile completion enables access to its free study materials and mock tests.  

 

Tally Academy’s Certifications in Tally:

  • Tally Academy Certified Accountant

One exam: Accounting in TallyPrime

Fee: INR 900

 

  • Tally Academy Certified GST Master

One exam: GST in Tally Prime

Fee: INR 900

 

  • Tally Academy Certified TDS Master

One exam: Tax Deducted at Source in Tally Prime

Fee: INR 900

 

  • Tally Academy Certified Payroll Executive

One exam: Payroll in Tally Prime

Fee: INR 900

 

  • Tally Academy Certified Professional

Four exams

  • Certified Accountant
  • GST Master
  • TDS Master
  • Payroll Master

Fee: INR 3600

 

  • Tally Academy Certified Taxation Master

Two exams: 

  • GST Master
  • TDS Master

            Fee: INR 1800

 

Mode: Online

Duration: At your learning pace

Eligibility Criteria: Open to all categories.

 

3. Udemy

Udemy is a globally popular learning platform that enables learning literally anything with various course options. Udemy provides a lot of Tally courses paid as well as free. Below are two of the most popular Tally courses from the best reviews. 

 

  • Tally ERP 9, Tally Prime, and GST 2022 Certificate Course

            Created by K.R. Gupta and R. Gupta

 

This is a complete Tally course ERP 9 and Tally Prime with Advanced GST Course.

 

Course Curriculum:

  • Accounting GST in Tally ERP9 & Tally Prime
  • Manual Accounting to Advanced GST Reports in Tally ERP9 & Tally Prime
  • GST Calculations & Reports in Tally ERP9 & Tally Prime
  • Payroll with PF, ESI, EPF, and Statutory Payment in Tally ERP9 & Tally Prime
  • TDS Calculations & its Reports
  • Accounting Manufacturing Firm
  • Printing of Cheque 
  • Reconciliation of Bank
  • Goods Transport Agency (GTA)
  • Reverse Charge Mechanism (RCM )
  • Composition Scheme of GST
  • Reviewing GSTR1, GSTR2, GSTR3B, and GSTR4
  • Availing of Input GST Credit
  • Import & Export Entries in GST
  • e-way Billing
  • Backup & Restore of data
  • Creating MIS Reports, BRS on Managerial Level
  • Setting GST at Company Level, Stock Group Level, Stock Item Level, Ledger Level
  • Import and Export Entries Export Exemption Entries in Tally
  • Sales to SEZ in Tally
  • Different Entries Effects on GST Reports

 

Mode: Online

Duration: 16 hours of on-demand videos

Fee: INR 3999

Certification: This course provides a certificate of completion. 

Eligibility Criteria: Basic computer knowledge

 

Highlights of the Course:

  • Full lifetime access
  • Access on mobile and TV

 

  • Tally ERP9, Tally Prime, GST,  Income Tax, TDS, and MS Excel

            Created by Urs Ravi, Vedanta Educational Academy

 

Course Curriculum:

  • Basics of Commerce 
  • Fundamentals of Accounting
  • All Levels of Tally ERP9 
  • Full Course Tally Prime 
  • GST & GST Portal Concepts
  • Slabs of Income Tax 
  • MS Excel Basics to Professional Levels
  • Filing of ITR1 & ITR4  
  • Introduction, Slabs, Forms, Returns, Filing to TDS

 

Mode: Online

Duration: 47.5 hours of on-demand videos

Fee: INR 1299

Certification:  This course provides a certificate of completion. 

Eligibility Criteria: This course is designed for all categories.

 

Highlights of the Course:

  • 18 Downloadable resources
  • 2 Practice tests
  • Full lifetime access
  • Access on mobile and TV
  • Assignments, Quizzes, Practical tests

 

4. MKCL Klic Course

Maharashtra Knowledge Corporation Limited MKCL is a state government educational organization. It provides many courses in IT, finance, and digital marketing. It provides Klic Tally Prime pro with a GST course under their Klic brand.

 

Course Curriculum:

  • Introduction Accounting
  • Company Creation
  • Maintaining Data of Company 
  • Features of Tally Software 
  • Management of Menu
  • Masters Creation
  • Invoicing, GST Reports

 

Mode: Classroom or online

Duration: 2 months

Fee: INR 5000 for students all over India. INR 6000 for students from Maharashtra, including INR 1000 for the job offer fee.

Certification: MKCL provides a completion certificate. Yashwantrao Chavan Maharashtra Open University (YCMOU) provides a mark sheet after passing the course exam.

 

Eligibility Criteria:

  • Preferably 10th Passed student (Not Compulsory)
  • Desirable to have done the MS-CIT Course (Not Compulsory)

 

Highlights of the Course:

  • It provides 100%  placement assistance with 3 interviews

 

Do check out here the best Financial Modeling Courses in India

 

5. Coursera

It is a globally popular online education platform for learning various subjects. You can buy its subscription and get access to its courses. You may have to pay an additional fee for certification. Also, you can buy some special courses by paying separate fees.

Coursera offers a Tally Bookkeeper Professional Certificate course. This course is offered by Tally Education Private Limited (TEPL), a group company and an education initiative of Tally Solutions. Tally Solutions is a designer company of Tally software.

 

It Offers Three Certification Courses in Tally. 

 

  • Fundamentals of Accounting and Reporting

This course is ideal for those wishing to start a career in bookkeeping.

Course Curriculum:

  • Accounting Fundamentals 
  • TallyPrime: integrated business management software
  • Create, and maintain accounts
  • Record and maintain transactions of accounting
  • Describe & manage: banking payments
  • Generation and analysis of financial statements
  • Provide security control to protect data
  • Backup, and restore company data

 

Eligibility Criteria: No prior bookkeeping knowledge is required. Aptitude in working with numbers is recommended. 

 

  • Principles of Accounts Payable and Receivable Management

This course will build bookkeeping knowledge and skills based on the first two courses.

 

Course Curriculum:

  • Classification of inventory
  • Management of accounts receivable and accounts payable
  • Management of purchase and sales orders
  • Tracking purchasing costs
  • Manage cost and profits
  • Budgets using TallyPrime
  • Generating reports

 

Eligibility Criteria: Competition of the first course or equivalent skills and knowledge.

 

  • Basics of Statutory Compliance and Taxation 

This course will build bookkeeping knowledge and skills based on the two courses.

 

Course Curriculum:

  • Application of the concept of goods and services tax (GST)
  • Configuration of tax deducted as source (TDS)
  • Business data management 
  • Data across companies’ management 

 

Eligibility Criteria: Competition of the first two courses or equivalent skills and knowledge.

Mode: All three courses are online. 

Duration: You can learn from the videos at your pace.

Fee: Coursera subscription fee. A 7-day free trial of Coursera is also available.

Certification: Each course provides a separate completion certificate. 

Highlights of the Course:

  • Financial aid by Tally Solutions is available

 

6. Skillshare

It is an online learning platform where people can learn about numerous topics. Its headquarter is in New York, USA. You have to get paid membership of Skillshare. Till your membership is valid, you can access any course on Skillshare. There are two Tally training courses on Skillshare, and one of them is in Hindi.

 

  • Tally Prime Basic to Advance Training 2022

By Saad Nadeem

Course Curriculum:

  • Accounting bills and loans
  • Transferring account information from physical notes to Tally
  • Reconciliation of Bank 
  • Settlement of GST, reimbursement of payment, shipping companies
  • Customization of the sales invoice number format

 

Mode: Online

Duration: 4 hours 53 minutes

Fee: Skillshare membership fee

Certification: No 

Eligibility Criteria: It is open to all categories.

 

Highlights of the Course: It provides around 40 hands-on class projects like

  • Tally Prime Installation on Laptop
  • Creating New Company 
  • Learn Short keys in Tally
  • Wage Payments in Tally
  • Dealing the Credit Sales In Tally Prime
  • Handling the Purchase Returns in Tally
  • Dealing the Rent Income

 

  • Tally ERP 9 with GST Accounts Basics in Hindi

      By Hemendar Singh Rajpurohit

      This Tally training course is in Hindi.

 

      Duration: 3 hours 21 minutes lectures

 

7. National Institute of Electronics & Information Technology NIEIT (Multiple locations)

NIEIT is an autonomous educational institute under the administrative control of the Government of India. It has 47 centers across India and it provides educational courses at 700 institutes across India. 

 

It provides the Tally ERP 9 course.

Course Curriculum:

  • Concept, tools, and techniques of accounting in Tally
  • Accounting 
  • Keeping records of transactions
  • Generate and print reports & invoices

Mode: Classroom 

Duration: 2 months, 2 hours per day

Certification: Course completion certificate by NIEIT, Kohima 

Eligibility Criteria: 10+2 Passing

Highlights of the Course: You can search for the nearby center of NIEIT at your location.

 

8. Disha Computer Institute (Multiple locations)

Disha Computer Institute is a leading institute in IT education and other associated skills. It was started in Pune, Maharashtra and now has expanded to 45 centers across Maharashtra. It provides Tally ERP 9.0 course.

 

Course Curriculum:

  • Tally ERP 9
  • Basics of Accounting
  • Inventory management
  • Import & Export information
  • B.R.S.
  • Service Tax
  • Value Added Tax

 

Mode: Classroom

Duration: 2 months

Fee: INR 12000 

Certification: It provides a course completion certificate.

 

Highlights of the Course:

  • They maintain a ratio number of students to teachers low, which enables personal attention to every student.
  • They arrange to visit lectures by highly experienced senior experts.
  • They have excellent learning resources like a library, printing accessories, the internet, and important cutting-edge software.

 

Also Read: Data Analytics Courses in India

 

9. Besant Technologies

It is an Indian academic platform that offers job-oriented certification online courses on trending technologies. Its Tally Online Training course can be a great choice for those looking to enter the field of accounting.

 

Course Curriculum:

  • Accounting Basics
  • Tally ERP 9 Fundamentals
  • Accounting masters, Inventory masters, Voucher entries in Tally ERP 9
  • Advanced accounting and advanced Inventory in Tally ERP 9
  • Taxes with Tally ERP 9
  • Technological advantages of Tally ERP 9
  • Payroll accounting with Tally ERP 9
  • Report Generating with Tally ERP 9

 

Mode: Online

Duration: 30+ hours course duration

Certification: It provides a globally recognized course completion certificate.

Eligibility Criteria: This course is designed for all categories.

 

Highlights of the Course:

  • 100% Job-oriented training
  • Free demo session
  • Dedicated placement cell with 92% placements record

 

10. CA Club India

It is a platform where CAs, CSs, ICWAs, and students can interact about updates and advancements on various issues in finance. It provides three Tally-related certification courses.

 

  • Accounting and Tally Prime course

Course Curriculum:

  • Fundamentals of Accounting
  • Introduction, Downloading, and Installation of Tally Prime
  • Shifting Tally ERP 9 Data to Tally Prime 
  • Making Accounts Charts 
  • Create Inventory Masters
  • Record Accounting Vouchers in Tally Prime
  • MIS Reports in Tally Prime
  • Enabling and Recording GST Transactions in Tally Prime
  • Enabling and Recording TDS Transactions
  • Activating and Exceeding the Credit Limit
  • Cost Cost Categories
  • Storing and Classification of Inventory
  • Manufacturing Process with help of  Bill of Materials
  • Backup & Restore Company Data
  • Export-Import Data
  • Security control
  • Enabling and Recording Advanced GST Transactions

 

Duration: 30 hours of video, course expiration after 4 months

Fee: INR 2999

 

Highlights of the Course:

  • It comes along with the e-book
  • It is available in Hindi and English

Certificate: Course completion e-certificate by CAClubIndia

 

  • Tally with Tax Course

Course Curriculum:

  • GST Registration and Cancellation
  • E- Way Bill Preparation and Cancellation
  • TDS all sections and Filing of TDS Returns
  • Filing GST Returns 
  • Examples of Practical Bills 

 

Duration: 45 hours video duration. 6 months or unlimited watch time.  

Eligibility: B.COM, M.COM, BCCA, MCM, BBA, MBA, B.SC (PCM), B.A, 12th Pass

Fee: INR 1999

Certificate: Course completion e-certificate by CAClubIndia

 

  • Tally ERP 9 (GST Enabled)

Course Curriculum:

  • Accounting Fundamentals
  • Maintain Chart of Accounts in Tally ERP 9
  • Maintain Stock Keeping Units
  • Keep records of Dailly Transactions in Tally ERP 9
  • Management of Accounts Receivable and Payable 
  • Making MIS Reports
  • Get Acquainted with GST
  • Record Vouchers with TDS

 

Eligibility: This course is open to all categories.

Duration: 20 hours of video. 3 months or 50 hours of watching, whichever is earlier.

Fee: INR 1999

Highlights of the Course: This course is in Hindi.

Certificate: Course completion e-certificate by CAClubIndia

 

FAQs

 

1. Can someone with an Arts background apply for the Tally course? Is learning Tally software hard for someone with no commerce background?

Anyone from an Arts background can opt for Tally training. Basic prerequisite concepts for it can be self-studied using books, blogs, and videos. Further, this software’s makeup is also quite simple to understand.

 

2. Is there any scope for government jobs after completing the Tally program?

Yes, there is quite a scope in government jobs after completing tally training. The scope can be quite less in the government sector as compared to the corporate sector. However, a few Tally clerk positions open every year. 

 

3. Can I learn Tally on my own for my business?

Yes, you can download and purchase Tally software from the Tally website. After its installation and creating a company in it, enter your company details, turn auto-backup on, choose your currency, set the dates and year, and get started.

 

4. Is the tally software free?

Tally software is not entirely free. However, you can download it from the Tally website and download its 30-day trial version for free use. 

 

5. Can I use Tally for teaching my students?

Yes, you can use Tally software in Educational Mode. It enables you to learn how to use the software without purchasing any license. However, some features are not available in Educational Mode.

 

Conclusion

Tally is a promising course in India and is best suitable for those who want to pursue a career in accounting, finance, and for one’s own business. There are numerous options available in India to learn Tally. Tally expertise will certainly boost your career path with great rewards. I hope you will find this information helpful for your bright future.  

Top 10 Business Analytics Courses in Malaysia

The concept of business analysis was first introduced in the late 1800s. With the newer technological inventions, it started to get evolved much faster. Nowadays powerful tools like artificial intelligence (AI), machine learning, and other techniques have made business analytics much more sophisticated. Business analysis has proven smart and scientific way leading to growing and profitable businesses. Hence the scope for business analytics has rocketed worldwide and of course in Malaysia. This article is about the basics of business analytics and the top 10 business analytics courses in Malaysia. 

 

List of best business analytics courses in Malaysia

 

What is Business Analytics?

When businesses are being run over a long period, they generate a large set of data regarding their policies, investments, loans, revenue, profit-loss, etc. By analyzing this data using different statistical models and quantitative methods, it is possible to make sense of this historical business data.

A business analyst is a professional person who involves in analyzing this data to identify the trends in the past and predict the outcomes in the present and accordingly suggest intelligent business strategies and policies for the future. 

Harvariness School Professor Jad Busn Hammond, who teaches the Business Analytics course, once said in his interview, “If you are attending a business meeting and other people there have opinions, but you have data to support your arguments and your recommendations, you will be influential ”. So business analysis plays a vital role in the success and growth of any business.

 

What is the Difference between Business Analytics and Data Analytics?

Before we dive further into information about this topic, let’s understand the difference between the terms Data Analytics and Business Analytics which may sound similar. Both of them deal with the data but the difference is in how they use it

Data analytics study the raw business data and clean it. They decide the usefulness of this raw data using algorithms, computer programming, and other deep techniques. Whereas, business analysts make sense of this analyzed data to study the trends and predict future business trends. They mainly involve in the conceptual level of analysis. They also assist the authorities in strategic policy making of business for profit and other positive factors.

 

Career Options After Business Analytics Courses in Malaysia

Businesses take their datasets as their assets. Hence businesses rely on the experts working on this data to survive in market competition, increase revenue, and implement safe & strategic policies. Therefore, nowadays, business analytics courses in Malaysia are in high demand and will gain high importance in the future as well. Here are the top career opportunities after completion of the business analytics courses in Malaysia.

 

  • Business Analyst

Job Description:

  • To understand the process of business and business objectives.
  • To understand business problems and come up with a unique and efficient solution.
  • To analyze clients’ needs and prioritize business requirements accordingly.

 

  • Human Resource Analyst

Job Description: 

  • To analyze data of the human resource department in terms of employee performance, and the efficient hiring process.
  • To fix the staff problems.
  • To find better candidates from the data, motivating present employees.

 

  • Financial Analyst

Job Description:

  • To analyze the financial data and predict future trends
  • To study the profit and loss of business
  • To give suggestions for efficient transactions
  • To advise on investment policies

 

  • Supply Chain Analyst

This deals with the analysis of the supply chain of a business and takes effort to make it smooth.

Job Description:

  • To collect and analyze the demand-supply data.
  • To analyze the trends.
  • To manage the supply chain operation.
  • To analyze inventory data.

 

  • Marketing Analyst

Job Description:

  • To analyze the marketing data of their products and services.
  • To forecast sales from new marketing campaigns.
  • To give insights to retain old customers, gain new customers, and improve the business revenue.

 

  • Data Analyst

Job Description:

  • To collect and analyze the data using different tools.
  • To use statistical models and quantitative techniques for data analysis.
  • Prepare reports and present them.
  • To manage databases.

 

  • Data Scientist

Job Description:

  • To study the big chunk of raw data of business using algorithms, machine learning, deep learning, and artificial intelligence techniques.
  • To analyze, filter, and clear the structured and unstructured business data.
  • To draw meaningful insights from the structured and unstructured data after its analysis.

 

Job Roles After Business Analytics Courses in Malaysia and Their Salary Ranges

Salary of different jobs after completing the business analytics courses in Malaysia change with experience, recruiting company, and skills. However, to get a rough idea, here is the table stating the range of salaries for different job roles in business analytics.

 

Job RoleSalary Range per Month
Business Analyst4,200 RM – 6,750 RM
Human Resource Analyst2,060 RM – 6,050 RM
Financial Analyst3,800 RM – 5,400 RM
Supply Chain Analyst6,750 RM – 9,250 RM
Marketing Analyst2,500 RM – 5,300 RM
Data Analyst3,400 RM – 5,300 RM
Data Scientist5,850 RM – 8,350 RM

 

*RM: Malaysian Ringgit is the Malaysian Currency

 

Who Should do Business Analytics Courses in Malaysia?

Business analysis is a data-driven improvement of a business. It is a combination of business management and analysis using technology. Hence whoever has a great interest in working with big data, who is tech-savvy and capable in analysis, can opt for business analytics courses in Malaysia.

Any graduate with a science, computer science, or commerce background is recommended for these business analytics courses in Malaysia. However, any graduate from other educational experiences can also take up these business analytics courses in Malaysia and enter this flourishing field. 

 

Top Recruiters in Business Analytics in Malaysia 

As business analysis is becoming an inevitable part of any business for its growth, profit, revenue increment, and survival in market competition, a plethora of jobs for business analysis in many IT and non-IT sectors are available in Malaysia and worldwide.

And this number is going to rise exponentially in near future. There are numerous companies in Malaysia mostly near Kuala, Lumpur City recruit for different job roles in business analytics. Here is the list of some of the top recruiters in business analytics in Malaysia:

 

  • Accenture
  • IBM
  • Shopee
  • Shell
  • Juris Technologies
  • Petronas
  • Deloitte
  • NXP Semiconductors
  • PwC
  • Hilti Group
  • CBRE
  • Tata Consultancy Services TCS
  • Maybank
  • Standard Chartered Bank
  • Schlumberger
  • Experian, etc.

 

Top 10 Business Analytics Courses in Malaysia

Business analytics is an emerging field in Malaysia and is believed to be thriving with job opportunities at present and in the near future also. There are numerous universities and institutes that offer business analytics courses in Malaysia. Along with the local universities, there are several online global platforms as well, where one can study business analytics courses in Malaysia from anywhere across the globe. Here is the list of the top 10 business analytics courses in Malaysia. 

 

1. Bachelor of Business Analytics (Hons) at Sunway University

Location: Sunway City, Malaysia

Sunway University is a non-profit private university in Malaysia. Although it is relatively a new university, in 2022, it is ranked by Quacquarelli Symonds (QS) World University Rankings among the top 150 top universities in the under-50-year-old category. It is situated at Sunway University, near Kuala Lumpur. It offers bachelor’s and master’s programs in business analytics.

 

Duration: 3 years (Full Time)

Mode: Classroom

Tuition Fees: RM 35,297 per year

 

Eligibility: 

  • For any local or foreign student, the minimum Malaysian qualification minimum CGPA is 2.00 out of 4.00 or the equivalent foreign qualification
  • English Proficiency tests
  • Passing in mathematics

 

Course Curriculum:

  • Knowledge and applied skills in the big data processing
  • Business analytics tools and techniques
  • Analytical and critical thinking skills development 

 

Highlights of the course: 

  • Lancaster University, a public university in the United Kingdom also validates this degree.
  • Upon degree completion, graduates will get two certificates, one from Sunway University and other from the Lancaster University

 

2. Master of Business Analytics by Sunway University

Location: Sunway City, Malaysia

Duration: 1 year (full-time)

Mode: Classroom

 

Eligibility: 

  • Bachelor’s Degree Equivalent to Malaysian Standards with Minimum Grades Equivalent of 2.50 out of 4.00
  • English Proficiency

 

Course Curriculum:

  • Business Analytics and Management 
  • Data Mining
  • Business Analytics with Python
  • Business Intelligence
  • Machine Learning in Business Decisions
  • Business Statistics with R
  • Methods of Business Research 
  • Business Analytics and Visualisation Advanced Studies

 

Highlights of the course:

This degree provides fundamental skills and cutting-edge technology knowledge that will be useful to develop critical thinking skills required for business analytics.

 

3. Business Intelligence and Analytics Course by Universiti Teknologi Malaysia

Location: It has three campuses in different places in Malaysia namely Johor Bahru, Johor, Kuala Lumpur, and Pagoh Johor. 

It is a premier public university in Malaysia that offers several courses in science, technology, and engineering. In 2021, it is ranked 13 among the top 50 under 50 years old universities by QS World University Rankings. 

           

Duration: 2 years full-time

Mode: On-campus

Tuition Fee: MR 50,450 per year for international students

 

Eligibility: 

  • Honors degree from this university or other equivalent degree from a recognized institute or university with a minimum CGPA of 3.00 out of 4.00
  • Minimum English requirement for international students

 

Course Curriculum:

  • Governance of Data
  • Business Statistics in Data Science
  • Business Intelligence
  • Data Mining in Business Analytics
  • Advanced Techniques in Enterprise Information Systems
  • Management of Strategic Business 
  • Cloud Computing in Big Data Analytics
  • Data Visualization

 

Highlights of the Course: The course has 7 credits for two research projects. 

 

4. Bachelor of Business Analytics (Hons) by HELP University

Location: Subang, Malaysia

HELP University is one of the top private universities in Malaysia. It has received several recognition awards from the Malaysian government, and private global companies, as well. It emphasizes providing quality education on numerous subjects at the bachelor’s and master’s levels.

 

Duration: 3 Years

Mode: On-campus

Tuition Fee: MR 63,300 Total Course Fee

Eligibility: Minimum CGPA of 2.00 out of 4.00 in matriculation or diploma or equivalent qualification

 

Course Curriculum:

  • Elements of Finance and Accounting
  • Introduction to Programming and Database System
  • Microeconomics Principles
  • Business Information Technology 
  • Business Law
  • Management Principles
  • Marketing Principles
  • Statistics of Business 
  • Mathematics
  • Business Analytics and Information Systems
  • Descriptive Business Analytics
  • Predictive Business Analytics
  • Prescriptive Business Analytics
  • Advanced Database Systems
  • Business Research Techniques
  • Decision-Making Business Analytics 
  • Advanced Business Statistics
  • Human Resource Analytics
  • Marketing Analytics
  • Data Insights and Visualisations
  • Economic Analytics

 

Highlights of the Course:

It has internships and links with the following industries:

  • Beijing Jiaotong University
  • Alibaba Business School
  • The University of Queensland
  • The University of Waterloo, Canada
  • SAS

 

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5. Business Intelligence and Data Analytics by the International Islamic University of Malaysia

It is a leading Malaysian university offering quality education in a range of different disciplines. 

Location: Kuala Lumpur, Malaysia 

Duration: 2 years full-time

Mode: On-campus

Tuition Fee: RM 32,000 for national students and RM 47,700 for international students.

 

Eligibility: 

  • A bachelor’s degree with a minimum CGPA of 2.75 out of 4 or equivalent qualification
  • English requirements: minimum IELTS score of 5, minimum TOEFL score of 60

 

Course Curriculum:

  • Introduction to scholarly contributions in the field of Business Intelligence and Analytics. 
  • Application of analytical methods and strategies of big data to advanced data analysis and visualizations. 
  • Understand issues and complexities in business
  • Learn intellectual property, integrity, data security, privacy, and professional code of business
  • Learn quantitative modeling and data analysis techniques to solve business problems
  • Advanced statistical tools and data programming techniques to solve problems in data analysis. 

 

6. Business Analytics Course by the University of Sains Malaysia

It is the leading university in Malaysia and offers undergraduate and postgraduate programs in subjects like natural and applied sciences, medical and paramedical sciences, social sciences, humanities, engineering, etc.

 

Location: It has five campuses in different places with the main campus at Minden, Penang, Malaysia.

Duration:

1-year full time

2 years part-time

 

Mode: On-campus

 

Eligibility:

  • Bachelor’s degree in management or other relevant qualification
  • Minimum CGPA of 2.75 out of 4
  • If less than a CGPA of 2.75, meet other criteria of the requirement of research/work experience 
  • Minimum English requirements

 

Tuition Fee: MR 18,060 for national students

                    MR 27,800 for international students

 

Course Curriculum:

  • Introduction to Analytics Edge
  • Introduction to Advances in Digital Technology
  • Insights in Management 
  • Statistics Techniques for Business Analytics
  • Data Programming in Business Analytics
  • Predictive Analytics in Business Analytics
  • Visualization and Data Storytelling 

 

Highlights of Course: This course is available full-time and part-time as well.  

 

7. Coursera: Business Analytics Specialization 

By the University of Pennsylvania 

Instructors:  the Wharton School Professors

Coursera is a popular US-based online education provider company. Its headquarter is in New York, USA. It offers a lot of courses on literally any topic you want to learn. It works with around 150 universities and organizations across the world and offers around 4000 courses. 

It provides a lot of courses on business analytics offered by different universities and institutes. However, we have listed the top two courses on business analytics by Coursera.

 

Duration: 5-6 months

Mode: Online

 

Eligibility: This is open to all categories. This is for those who are interested in learning how decisions should be taken using big data. 

Certification: It provides a certificate after completing the course and a hands-on project. 

Tuition Fee: $ 79

 

It offers five courses in this specialization. It is recommended to follow the order for continuity. It is okay to complete a single course and gain the respective certificate. These courses are as follows:

 

  • Customer Analytics

Course Curriculum:

  • Popular methods of customer data collection and their help to make business decisions
  • Tools to predict customer behavior and techniques to use them appropriately 
  • Key ideas regarding customer analytics and their use in decision making
  • History of customer analytics techniques used by major firms

 

  • Operations Analytics

Course Curriculum:

  • Model future demand uncertainties
  • Predict outcomes of competing policy choices
  • Choose the best action to face the risk

 

  • People Analytics

Course Curriculum:

  • How to manage people at work based on deep data analysis
  • How to make soft-skill decisions regarding hiring and talent development
  • How to use deep data for people-related issues like recruiting, performance evaluation, leadership, hiring, job design, compensations, etc.

 

  • Accounting Analytics

Course Curriculum:

  • How to use data to study factors driving financial performance
  • How to use data to forecast the financial future
  • How to use data consumer behavior predictions, corporate strategy, risk management, etc.

 

  • Business Analytics Capstone

Course Curriculum:

  • This is a project to learn applying the knowledge learned in the previous four courses to solve the challenges faced by reputed businesses like Yahoo, Google, and Facebook.
  • This project is designed with Yahoo to learn the evaluation and creation of data-driven decisions.

 

Highlights of Course: 

  • The course is in English whereas it has subtitles in other languages as well.
  • Financial aid is available for those are fitting its eligibility criteria.

 

8. Coursera: Business Statistics and Analysis Specialization

Offered by Rice University

Instructor: Sharad Borle

Duration: Approx. 5 months

Mode: Online

Eligibility: Anyone with any background can opt for this course.

 

Tuition Fee: $49

This is a series of 5 courses to master the field of business statistics and analysis.

 

  • Introduction to Data Analysis using Excel

Course Curriculum:

  • Introduction to Excel spreadsheet and its basic functions
  • Introduction to various basic excel spreadsheet functions to organize data
  • Introduction to excel spreadsheet functions like pivot tables, filtering, and charts
  • Introduction to excel spreadsheet functions like advanced graphing, and charting

 

  • Introduction to Data Descriptors and Their Application to Business Decisions

Course Curriculum:

  • Introduction to descriptive measures of data
  • Association, probability descriptive measures
  • Introduction to excel spreadsheet functions to calculate probability and normal distributions
  • Introduction to normal, binomial, and Poisson distributions

 

  • Business Applications of Hypothesis Testing and Estimation of Confidence Intervals

Course Curriculum:

  • Introductions to building blocks of confidence intervals
  • Introduction to hypothesis testing: types, guidelines, excel formulas, applications, and type I and II errors
  • Introduction and applications of difference-in-means hypothesis tests

 

  • Linear Regression for Business Statistics

Course Curriculum:

  • Build and estimate regression models using Excel
  • Carry out hypothesis tests using regression outputs using Excel
  • Dummy variable regression applications
  • Introduction to interaction variables, lol-log, and semi-log regression models

 

  • Business Statistics and Analysis Capstone

Course Curriculum:

  • This is a project to apply the skills learned in the last four courses in the real world
  • To pose questions those customers would ask a data analyst about the publicly available data of industry partner
  • To carry out statistical analysis on this publicly available data and produce reports on findings simply and understandably

 

Certification: It provides a certificate after completing the course and a hands-on project. 

 

Highlights of Course:

  • The course is in English whereas it has subtitles in other languages as well.
  • Financial aid is available for those are fitting its eligibility criteria.
  • Practice quizzes
  • Graded assignments with feedback
  • Graded programming assignments
  • Graded quizzes

 

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9. Udemy: Business Analysis Fundamentals

Created by Jeremy Aschenbrenner

Udemy is a global teaching and learning platform that offers more than 213,000 courses, and 74,000 instructors teaching in more than 75 different languages. It offers several courses on business analytics. However, here is the information about the most popular business analytics course on Udemy. 

 

Duration: 8.5 hours of on-demand videos

Mode: Online 

Eligibility: This course is all about business analytics fundamentals, so no prior knowledge is required.

Tuition Fee: $48 is a regular fee, however, most of the time, they offer massive discounts also.

Certification: It provides a certificate of course completion. 

 

Course Curriculum:

  • What business analyst is, what is the job role, and how do they work
  • Six project methodologies including Agile and Waterfall frameworks
  • How to create a business case according to the business objectives
  • Six widely used business techniques to obtain project details from stakeholders
  • Introduction to modeling diagrams to understand project documentation 
  • Carry out requirement specifications like categorizing, validating, and prioritizing

 

Highlights of Course: 

  • It provides 15 downloadable resources
  • Full lifetime access to videos
  • Along with English, subtitles are available in more than 10 languages

 

10. edX: Business Analytics for Data-Driven Decision Making

Offered by Boston University

Instructors: Prof. Byers, Dellarocas

edX is a USA-based global online education provider created by Harvard and MIT university. It provides university-level online education to worldwide students in various disciplines. It even offers some courses free of cost. 

 

Duration: 7 weeks

Mode: Online

Eligibility: Elementary college in Statistics should be completed.  

Tuition Fee:

$399 unlimited access

Free audit course with limited access

 

Course Curriculum:

  • Predictive statistical modeling and machine learning techniques
  • Role of these techniques in decision making
  • Manage analytical processes effectively and make evidence-based decisions accordingly 

 

Highlights of Course: 

  • Unlimited edX support
  • Graded assignments and exams

 

Certification: It provides a certificate of completion.

                        

FAQs

 

  • Is learning business analytics courses in Malaysia hard?

Business analytics is not hard to learn. Data scientists do the most difficult part to extract meaningful data from raw data through deep and complex analysis. Business analysts work on that extracted data. A combination of a little bit of maths, a grip on some statistical tools, and logical reasoning is needed to learn business analytics courses in Malaysia.

 

  • Is programming/coding knowledge required for business analytics?

Core programming knowledge is not necessary for business analytics. However, if you know to code, it will be additional expertise that will be helpful in business analytics. Business analytics is more statistical than coding oriented. 

 

  • Which tools are used for business analytics?

As business analytics is more statistical, a lot of statistical tools are being used for business analytics. While MS Excel and Tableau are fundamental business analytics tools, SAS Business Analytics, QlikView, Splunk, Sisense, Microstrategy, Knime, etc are the other widely used business analytics tools.

 

  • What is the future of the business analytics industry in Malaysia? 

Artificial intelligence, machine learning, and deep learning are flourishing technologies these days. And with the help of emerging technology, the business analytics field is going to thrive with excellent job opportunities in Malaysia. So, the scope of the business analytics industry is no doubt going to increase in near future. 

 

Conclusion

For any business, it is becoming crucial part to adopt business analytics technology because of the huge market competition. Business analytics has proven itself a smart way to a successful, sustainable business. For promising business analytics outcomes, businesses rely on good-quality data and smart expert business analysts. So anyone, with a strong desire to learn business analytics, great analytical and logical reasoning skills, and comfortable with mathematics and statistical tools, can enroll in business analytics courses in Malaysia. Having thriving job opportunities at present and tremendous scope in the future, business analytics expertise will be certainly rewardable with flying colors. I hope you will find this information helpful while making your career choices.

Top 9 Highly Rewarding Data Analytics Jobs

We take the help of data in day-to-day life while making decisions. For example, we observe and understand the trends in prices and discounts on various shopping websites. Based on those observations, we manage to shop during a certain period to save money or for better deals. Likewise, for any business, it has become vital to make data-driven decisions to achieve better results. This article consists of fundamental information about the data analytics field and top data analytics jobs available in the world.

List of best data analytics jobs

According to the US Bureau of Labor Statistics, it is estimated that data analytics jobs and their average income to grow by 23% between 2021-2031. If you are looking to build a career in data analytics but are not sure what job roles are available in the field of data analytics, this article is for you.

What is Data Analytics?

All businesses collect data from various sources like internal systems, social media pages, etc. This data is crucial to understanding the trends in the business dynamics and helps to make policies and smart decisions for the future for a sustainable, profitable business.

Data analytics is the process of acquiring, cleaning, analyzing, and visualization of data to make data-driven decisions, instead of just by guesswork and intuitions. For example, a pharmaceutical company decides what medicines to manufacture and when to manufacture them based on the data and trends shown over the period. 

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Difference Between Data Analysis and Data Analytics

It is very common to use the terms data analysis and data analytics synonymously. However, there is a huge difference between these two terms. Data analysis is a part of data analytics and the related professional is known as the data analyst. Whereas, data analytics is a comprehensive term comprising all the activities that deal with data like data analysis, data science, data engineering, etc. 

Types of Data Analytics

Be it data analysis, data science, or data engineering, each one has the following four key types of data analytics. To understand this section, let us take an example of the coronavirus pandemic.

  • Descriptive Analytics

In this, the meaning of collected data is understood. The quantitative data in the form of numbers are transformed into the descriptive analysis. It tells the company “what is happening” in the present or “what was happening” in the past.

For example: From numbers or data, initially, medical staff started to observe that certain groups of people were suffering from flu-like symptoms and the disease was spreading from person to person. 

  • Diagnostic Analytics

From the collected data, once it is clear “what is happening”, the trends and patterns can be found. These trends and patterns are useful to understand “why is that happening” in the present or “why was that happening” in the past.

For example: Once the symptoms are known, medical personnel study the possible cause behind these infections. They diagnosed that it is a viral infection and spreads through breathing, sneezing, coughing, etc. 

Here is a guide to Data Analytics and Data Science

  • Predictive Analytics

Based on the above two steps, predictions can be made from the data about the events that may happen soon. This type of data analytics deals with “what will happen” in the future based on descriptive and diagnostic analysis.

For example: Once it became known that COVID-19 viral infections were going on, the medicinal authorities could predict that it would affect a large chunk of the population and might be dangerous for the immunocompromised and old-aged population.   

  • Prescriptive Analytics

Once the predictive analysis is done from the data, it becomes possible to think of and suggest future strategies, policies, etc. Well-informed decision-making has always proven intelligent and proactive steps to achieve better results.

For example: Once COVID was known to be dangerous for the immunocompromised and old-aged population, it was prescribed to stay at home and other precautions like lockdowns, vaccinations, etc. were started.

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Eligibility Criteria for Data Analytics Jobs

There are no fixed eligibility criteria to learn data analytics jobs. Various bachelor’s and master’s courses and degrees in data analytics are available. Generally, they are required to have prior education in relevant fields like computer science engineering, or statistics. 

There is a range of certificate courses in data analytics available also. Some of them require some technical background in these relevant fields, whereas some of them do not have any fixed eligibility criteria to opt for the data analytics course. 

You should know the most important Data Analyst Interview Questions

Skills Required for Data Analytics Jobs

There are a few selective skills to be effectively applied simultaneously in data analytics jobs. However, it might be difficult to learn these skills thoroughly and apply them for data analytics jobs. It is recommended to acquire beginner levels of all these essential skills and polish them during internships and entry-level jobs. Here is the list of the skills required for data analytics jobs:

  • Structured Query Langauge SQL

SQL is the most essential skill in data analytics. It is used to handle the databases. SQL plays an important role in organizing and updating the data. Dealing with the data using SQL is considered to be the primary yet vital step in data analytics. 

However, SQL is quite an easy-to-learn language. Having hands-on experience in SQL is considered to be a must in data analytics jobs interviews.

  • R and Python Programming

Programming languages like R and Python are considered to be yet another essential skill for data analytics. These languages are used for cleaning, analyzing, and visualizing the analyzed data in the form of graphs, plots, etc. In the beginning, knowing at least one of these languages would serve the purpose.

It is used to build algorithms to find patterns in large datasets. It is not a must-have skill for beginners as data analysts. However, learning this skill gradually would pave an easy path toward advanced-level jobs.

  • Probability and Statistics

Probability and statistics from mathematics are used to identify unbiased and accurate ways of finding trends and patterns in the data.

  • Data Management

It is the process of acquiring, sorting, cleaning, and storing data. Having the ability to do these data management tasks is essential in the data analytics field.

 

  • Econometrics

In this, various mathematical and statistical models are used to identify future trends and patterns based on historical data. This has major relevance in the field of banking and finance. For example, when giving a loan to a customer, econometrics comes into the picture to predict whether that customer will return the money or not based on his historical data.

  • Statistical Visualization

After analyzing the data, it is equally important to let people understand the analyzed data. The results from the analyzed data can be represented in the form of graphs, charts, plots, maps, etc.

Learn more about:

Popular Tools for Data Analytics

A wide range of tools is used in the field of data analytics for mining, cleaning, analyzing, interpreting, and visualization of the data. Here is the list of popular data analytics tools.

  • Microsoft Excel
  • R and Python
  • Tableau
  • Splunk
  • KNIME
  • Talend
  • RapidMiner
  • Microsoft Power BI
  • Apache Spark
  • Jupyter Notebook

Industries Recruiting Data Analytics Experts

Although there are a lot of data analytics jobs open across the world, there is a shortage of skilled workers in this field. Hence, companies and organizations from various fields are looking for skilled data analysts. Presently, the following industries are welcoming skilled workers in data analytics. 

  • Finance 
  • Banking & Securities
  • Entertainment
  • Healthcare & Pharma
  • Information Technolgy
  • Government
  • Education
  • Transportation
  • Manufacturers

Top Recruiters of Data Analytics

Once you are ready with all the essential skills for data analytics jobs, data analytics recruiters are waiting out there! Because of a combination of the facts of huge needs and limited availability of skilled workers in these fields, the recruiters are countless. Here is a list of some of the top recruiters in the field of data analytics.

  • Wipro
  • Flipkart
  • Accenture
  • Myntra
  • Citrix
  • Amazon
  • Deloitte
  • LinkedIn
  • Microsoft
  • IBM

 

Top 9 Highly Rewarding Data Analytics Jobs

Once you are equipped with the necessary data analysis skills, a plethora of jobs become open in various fields like finance, healthcare, IT, etc. Some of the jobs are entry-level whereas some are advanced-level jobs. Here is the information about the data analytics jobs roles, job descriptions, and salary range.  

 

1. Data Analyst

The demand for data analysts is huge and going to rocket in the next decade. According to the World Economic Forum, data analysis is the number two growing job in the US. This is an entry-level job in the data analytics field. 

Eligibility Criteria:

There are no fixed eligibility criteria for a data analyst. A certificate course in data analysis, a diploma or a bachelor’s degree in computer science, software engineering, or other relevant fields are the most suitable paths for data analysts.

 However, people from other backgrounds can also learn the skills through various university degrees, online courses, etc., and become eligible for this job role.

Job Description:

  • Identify the problem: For data analysts, it is crucial part to identify the exact question and purpose before starting actual data analysis. 
  • Collect the data: Once the question or purpose behind the data analysis is identified, data analysts collect the relevant data confined to their problem. Data analysts often acquire data from the company’s website, company’s social media platform, or sometimes buy from data-providing companies. 
  • Clean the data: These datasets are collected in their raw form along with outliers, duplicates, and errors. Cleaning this data and drawing meaningful, relevant data is the next step. SQL is a widely used tool for handling large databases.
  • Analyze the data: Using various statistical and probabilistic models, data analysts analyze the cleaned data. They commonly use R and Python programming languages for this task.
  • Interpret the data: After the data analysis, data analysts try to find out the trends and patterns that could give the results or solutions to the originally identified question.
  • Visualization of data: To simplify the results and make them understandable to related people, data analysts put the results in the form of graphs, plots, maps, charts, etc. For this, they commonly use tools like Tableau, MS Excel, and Jupyter Notebook.

Average salary: According to Glassdoor, data analysts in India earn an average of$72,000 in the US and  INR 4.2 Lakhs per year. It may change with experience, location, and the hiring company.

Job roles: A data analyst can have the following different job titles:

  • Healthcare Analyst
  • Business Analyst
  • Financial Analyst
  • Business Intelligence Analyst
  • Quantitative Analyst
  • Marketing Analyst

 

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2. Data Scientist

Like data analysts, data scientists are also primarily involved in finding trends and patterns in data. However, data scientists have more responsibilities and complex problem-solving as compared to data analysts.  Data scientists are generally supposed to find questions or goals for the company on their own for data analysis, whereas data analysts assist the data scientists in analyzing the data on the already set questions.

Eligibility Criteria: It is preferred to have a bachelor’s or master’s degree in data science. Or one can start a career as a data analyst and take it up to a data scientist with skill enhancement. It is not an entry-level job.

People with PhDs in mathematics, statistics, and physics are also considered to be the best candidates for data scientist jobs.

Job Description:

  • To identify questions to be asked by an organization to achieve better results
  • To find trends and patterns in the databases
  • To build algorithms, and models using advanced machine-learning techniques
  • To develop predictive models to understand future trends and patterns 
  • To upgrade the quality of the organizational data

Required Skills:

  • Programming languages like R, Python, SQL, SAS, etc.
  • Visualization skills like MS Excel, Tableau, and PowerBI
  • Machine Learning
  • Hands-on experience with software like Hadoop, Apache Spark

Average Salary: According to Glassdoor, the average salary of a data scientist is INR 10 lakhs in India and $1,21,238 in the US per annum. It may change with experience, location, and the hiring company.

 

3. Data Engineer

They are primarily involved in building and testing stable and sustainable systems with which data analysts and data scientists can work.

Eligibility Criteria:

Most data engineers start their careers as software engineers and then with skills and experience become data engineers. So, a bachelor’s or master’s degree in software engineering is the most suitable background for a data engineer. 

A data engineer is not an entry-level job. However, with experience and expertise in data analytics skills, one can move towards this job role gradually.

Job Description:

  • Design and test data management systems
  • Maintain and update the data management systems that are already in existence
  • Research and remain updated for the new technologies in the market for system upgradation

Required Skills:

  • Programming languages like SQL, NoSQL, Java, C++, Matlab, Scala, etc.
  • Hands-on expertise in big data tools like Kafka, Hadoop, MongoDB, etc.
  • Cloud Computing
  • Automation and Scripting
  • Machine Learning
  • Data Security

Average Salary: According to Glassdoor, the average salary of a data engineer is  INR 8.0 Lakhs in India and $1,14,525 in the USA per annum. It may change with experience, location, and the hiring company.

 

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4. Data Architect

Typically a data architect is involved in managing the infrastructure of data management systems. 

Eligibility Criteria: It is not an entry-level job. A bachelor’s or master’s degree in data architecture, data engineering, software engineering, and management work the best background for a data architect job.

Job Description:

  • To maintain database systems considering the organization’s security
  • To audit and upgrade the performance of the existing data management system
  • To execute the solutions to store and manage the organization’s data 
  • To plan databases for the future

Required Skills:

  • Python
  • Java
  • SQL
  • Erwin 
  • Visio
  • Machine Learning

Average Salary: According to Glassdoor, the average salary of a data architect is  INR 22 lakhs in India and $1,27,666 in the US per annum. It may change with experience, location, and the hiring company.

Job roles: A data architect can have the following different job titles:

  • Cloud Architects
  • Security Architects
  • Machine Learning Architects

 

5. Database Administrator

A database administrator should have strong technical knowledge of database structures and their installation procedures.

Eligibility Criteria: A bachelor’s or master’s degree in computer science or software engineering.

Job Description:

  • To Maintain, and track the performance of the company’s databases
  • To implement suggested upgrades and corrections in the existing databases
  • To maintain database security, integrity, stability
  • To keep database backup and recovery provisions

Required Tools:

  • Microsoft SQL Server
  • Oracle
  • IBM DB2

Average Salary: According to Glassdoor, the average salary of a data administrator is INR 7.5 lakhs in India and $97,514 in the US per annum. It may change with experience, location, and the hiring company.

 

6. Data Analytics Manager

Typically, a data analytics manager works with a team of data analysts and keeps track of the company’s data analytics work and overall progress.

Eligibility Criteria: A bachelor’s or master’s degree in data analytics, computer science, or in a relevant field.

Job Description:

  • To plan strategies for business intelligence and data analytics
  • To track data analytics progress 
  • To come up with solutions to improve business data analytics
  • To transform raw data into useful results for deciding the company’s strategies and policies

Skills Required:

  • Data Analytics Skills
  • Management skills

Average Salary: According to Glassdoor, the average salary of a data analytics manager is INR 20 lakhs in India and $150,500 in the US per annum. It may change with experience, location, and the hiring company.

 

7. Statistician

A statistician is involved in working with converting numerical data and numbers into valuable results to make a company well-informed about its performance. They use various statistical models for this task.

Eligibility Criteria:  A bachelor’s or master’s degree in statistics or mathematics or data analysis

Job Description:

  • To create and maintain databases using statistical models
  • To check data integrity, errors in the process of cleaning the data
  • To ensure the validation of the data
  • To visualize the data in the form of charts, plots, graphs, etc.

Skills required: Statistical programs like SAS, SPSS, R, and Stata.

Average Salary:  According to Glassdoor, the average salary of a statistician is INR 5 lakhs in India and $93,700 in the US per annum. It may change with experience, location, and the hiring company.

 

8. Machine Learning Engineer

Machine learning is a branch of artificial intelligence. A machine learning engineer is not an entry-level job. It requires years of experience to become a machine learning engineer. A machine learning engineer is an integral part of the data science team. Data scientists make use of models developed by machine learning engineers. 

Eligibility Criteria: A bachelor’s degree in computer science or software engineering for an entry-level post. A master’s degree, Ph.D. in computer science, data science, or software engineering for advanced-level posts.

Job Description:

  • To build and test machine learning models and algorithms for data science
  • To update the machine learning models and algorithms
  • To perform statistical analyses

Average Salary: According to Glassdoor, the average salary of a machine learning engineer is INR 8 lakhs in India and $1,36,400 in the US per annum. It may change with experience, location, and the hiring company.

 

9. Project Manager

Typically project managers are involved in basic data analysis to keep track of the progress, productivity, efficiency, and skills of employees. These are often management posts with the requirement of the minimum or the least data analytics knowledge.

Eligibility Criteria: A bachelor’s or master’s degree in management and knowledge of data analytics fundamentals.

Average Salary: According to Glassdoor, the average salary of a project manager is INR 15.5 lakhs in India and $91,000 in the US per annum. It may change with experience, location, and the hiring company.

 

FAQs

  • Is data analytics hard to learn?

Data analytics expertise requires mastering skills like SQL, R, python, machine learning, Tableau, etc. which can be complex and hard to excel in the beginning. However, beginner levels of these skills are quite easy to learn. One can take up beginner-level jobs and master their advanced levels over time. 

  • How much time is required to learn data analytics?

The time required for learning data analytics depends on various factors like any prior skills you have or not, whether you are learning it full-time or part-time or on your own, etc. However, generally speaking, learning beginner-level data analytics can take up to three to six months. 

  • Can data analysts’ jobs be done remotely?

Once you are an experienced data analyst, you can work independently from your home. However, an entry-level data analytics employee would need face-to-face support from relevant co-workers which it easier to work in the office. 

  • Is mathematics required to learn data analytics?

Linear algebra, statistics, and probability are the fundamental pillars of data analysis. Machine learning is the backbone of data science which requires writing algorithms that require math. One doesn’t need to have a formal degree in mathematics, but one should have good hands-on linear algebra, calculus, statistics, and probability.

  • Is coding knowledge required for data analytics jobs?

For entry-level jobs like junior data analysts, advanced-level coding is not needed. Basic levels of SQL, R, or Python knowledge are sufficient which is straightforward to learn. However, as you grow your career toward data science and data engineering, advanced coding skills become essential. 

Conclusion

These days, nearly every business collects and analyzes its data and prefers to make data-driven policies and strategies. By 2028, it is expected that about 70% of businesses and companies will hire data analysts. Hence there is a boom in data analytics jobs and the demand for data analysts is expected to rocket soon. However, there is a great shortage of skilled data analysts. If you have a strong desire and passion to learn data analytics techniques, a wide range of data analytics jobs are available with the potential for career growth.