Top 12 Jobs After MBA in Business Analytics (with Skills and Salary)

Indian companies are increasingly looking for MBA graduates with a specialization in business analytics to help them navigate market uncertainties and seize new opportunities. By pursuing an MBA in business analytics, you’ll gain the skills to analyze data, generate valuable insights, and guide businesses in making smarter decisions. If you’re ready to kickstart your career, there are plenty of job opportunities available in fields like finance, marketing, and supply chain management. In this blog, we’ll explore the best jobs after an MBA in business analytics, along with the key skills required, average salary ranges, and top hiring companies that are hiring for these job roles.

List of Jobs After MBA in Business Analytics

An MBA in business analytics offers you a wide range of career options where you can combine data with strategic decision-making. Whether you’re interested in financial analysis, marketing, or data engineering, there are plenty of job opportunities to explore. Each job role allows you to use data to help businesses make better decisions, improve their performance, and reach their goals. Here are the best career options you can pursue after completing an MBA in business analytics.

1. Data Scientist

As a data scientist, you will analyze large data sets to uncover patterns, trends, and insights that help organizations make informed decisions. You will use statistical methods, algorithms, and machine learning to interpret complex data and solve real-world problems. 

Additionally, your work will involve collecting, cleaning, and organizing data, then building models to predict outcomes or optimize processes. If you want to pursue a career in this field then you can enroll in a data science placement guarantee course. This comprehensive course will help you gain relevant experience and secure a job opportunity as a data scientist.  

i. Key Skills

Here are the skills required to pursue data science jobs:

• Understanding of programming languages such as R, Python, and SQL is preferred.
• Basic understanding of data science concepts.
• Expertise in data manipulation and query languages like SQL and tools for efficient data processing and analysis.
• Familiarity with cloud platforms such as AWS and Azure to deploy machine learning models and manage data storage at scale.
• Deep understanding of machine learning algorithms, including linear regression, decision trees, and neural networks, and how to apply them to solve business problems.
• Ability to visualize complex data insights using tools like Tableau, and Power BI to communicate findings effectively to stakeholders.

ii. Average Salary Range:

• ₹8 LPA – ₹25 LPA

iii. Top Hiring Companies:

• Accenture
• PwC
• Wells Fargo
• Capgemini

2. Business Intelligence Analyst

The field of business intelligence offers some good careers after an MBA in business analytics. As a business intelligence analyst, you will analyze data to help your organization make informed decisions. Your role will involve gathering data from various sources, and then using tools to create reports, dashboards, and visualizations that reveal trends and insights. 

You will work closely with different departments to understand their needs and provide them with the information they require to make strategic decisions. You can consider enrolling in a business analytics course to enhance your skills and improve your job prospects in this dynamic field. 

i. Key Skills

Here are the skills required to pursue business intelligence analyst jobs:

• Dashboard-building proficiency with the ability to communicate concise, curated, and targeted insights and recommendations.
• Expertise in SQL for data manipulation and data layering.
• Training in statistical modeling and statistical methods.
• Experience with BI reporting tools such as Looker, Power BI, or Tableau.
• Analytical mindset with the ability to interpret complex datasets and provide actionable insights to drive business decisions.

ii. Average Salary Range:

• ₹6 LPA – ₹15 LPA

iii. Top Hiring Companies:

• IBM
• Deutsche Bank
• Crisil
• Wells Fargo

3. Knowledge Analyst

A knowledge analyst gathers, organizes, and analyzes information to support your organization’s decision-making processes. You will be responsible for researching data from various sources, synthesizing it, and creating reports or insights that can be used by different teams. 

Additionally, you will work closely with subject matter experts to ensure that the information you provide is accurate and relevant. The role of a knowledge analyst is essential in enabling others to make better decisions based on well-researched and up-to-date information.

i. Key Skills

Here are the skills required to pursue knowledge analyst jobs:

• Expertise in data research methodologies and the ability to synthesize information from multiple sources to produce insights that inform strategic decisions.
• Proficiency in tools like Excel, Google Sheets, and knowledge management systems to organize, analyze, and report data effectively.
• Strong communication skills to present complex findings clearly and concisely, both verbally and through written reports.
• Ability to manage knowledge repositories and ensure that information is accurate, relevant, and accessible to the organization.
• Strong analytical skills, ability & desire to work with large datasets, and demonstrated attention to detail.

ii. Average Salary Range:

• ₹7 LPA – ₹16 LPA

iii. Top Hiring Companies:

• Microsoft
• Adidas
• Pepsico
• Capco

4. Marketing Analyst

The field of marketing offers some of the most exciting jobs after an MBA in business analytics. As a marketing analyst, you will analyze market trends, customer behavior, and sales data to help your organization make informed marketing decisions. Your role will include collecting data from various sources, such as surveys, social media, and sales reports, and using it to identify patterns and opportunities. 

Furthermore, you will create reports and visualizations to help the marketing team in developing effective strategies. Marketing analysts optimize marketing campaigns and improve product positioning by understanding what drives customer behavior and market trends. 

i. Key Skills

Here are the skills required to pursue marketing jobs:

• Strong understanding of market research principles, including primary and secondary research methods.
• Proficiency in tools such as Google Analytics, Excel, PowerPoint, etc.
• Ability to track marketing performance, measure ROI, and understand customer behavior.
• Experience with A/B testing, segmentation, and customer journey analysis to optimize marketing campaigns and enhance targeting effectiveness.
• Strong grasp of data visualization tools like Power BI, Tableau, or Google Data Studio for creating impactful marketing reports and dashboards.
• Knowledge of CRM systems and marketing automation tools to streamline customer relationship management and improve engagement strategies.

ii. Average Salary Range:

• ₹5 LPA – ₹14 LPA

iii. Top Hiring Companies:

• Tata Capital
• Merck
• Evalueserve
• Cognizant

5. Power BI Developer

As a Power BI developer, you will create data-driven solutions that help your organization make informed decisions. You will be responsible for designing and developing interactive dashboards and reports using Power BI, turning complex data into clear, actionable insights. 

Additionally, you will gather data from various sources, clean and organize it, and then use Power BI’s tools to visualize trends and key metrics. By collaborating with different teams, you will ensure that the data solutions meet business needs. 

i. Key Skills

Here are the skills required to pursue Power BI developer jobs:

• Strong proficiency in Excel, Microsoft Power BI, SQL, QlikView, and Python.
• Experience working with large datasets and performing exploratory data analysis (EDA) techniques.
• Proficiency in data science, data analytics, and business intelligence.
• Knowledge of data modeling, including defining relationships between data tables and creating calculations, for building effective reports and dashboards.
• Familiarity with DAX (Data Analysis Expressions) is required for creating custom calculations, measures, and calculated columns.
• Power Query skills for data transformation, cleaning, and reshaping data for analysis.
• Understanding data visualization concepts and the ability to translate business requirements into effective visualizations.
• Strong communication and collaboration skills to interact with business stakeholders and work with other team members.

ii. Average Salary Range:

• ₹6 LPA – ₹18 LPA

iii. Top Hiring Companies:

• Maruti Suzuki
• Crisil
• Nomura
• Qualcomm

6. Financial Analyst

Financial analytics offers some of the job roles after an MBA in business analytics. A financial analyst evaluates financial data to guide an organization’s investment and business decisions. You will be responsible for analyzing financial statements, market trends, and economic conditions to forecast future performance. 

Furthermore, you will create reports and models that help identify opportunities, assess risks, and support strategic planning. If you want to secure a career in this field then you can enroll in a financial modeling course. This course will help you gain essential skills and secure lucrative job opportunities. 

i. Key Skills

Here are the skills required to pursue finance jobs:

• Understanding of financial statements, accounting principles, and regulations.
• Ability to create and present financial reports, including budgeting, forecasting, and variance analysis.
• Proficiency in Microsoft Excel for data analysis, modeling, and visualization.
• Strong analytical skills to identify trends, patterns, and correlations in financial data.
• Forecasting ability to develop and maintain financial forecasts, including revenue, expenses, and cash flow projections.
• Knowledge of financial modeling techniques and tools to create scenarios, sensitivity analyses, and what-if models.
• Experience with budgeting processes, including budget development, tracking, and variance analysis.
• Understanding of technical analysis concepts and tools to analyze market trends and make investment recommendations.
• Strong research skills to identify and locate relevant financial data and market information.
• Ability to prepare clear, concise, and well-structured written reports and presentations.
• Knowledge of statistical techniques and tools to summarize data, detect patterns, and make inferences.

ii. Average Salary Range:

• ₹4.5 LPA – ₹12 LPA

iii. Top Hiring Companies:

• Conneqt
• Deutsche Bank
• Capgemini
• BNY

7. Risk Analyst

As a risk analyst, you will assess potential risks that could impact your organization’s financial health and operations. Your role will involve analyzing data, market trends, and financial statements to identify potential threats and opportunities. Moreover, you will evaluate the likelihood and impact of these risks, and then develop strategies to mitigate them. 

Risk analysts help organizations in making informed decisions to minimize risk by preparing detailed reports and recommendations. You will play a key role in safeguarding the company’s assets and ensuring long-term stability by proactively managing and reducing potential threats.

i. Key Skills

Here are the skills required to pursue risk analyst jobs:

• Proficiency in tools like Excel, Access, Visio, and other analysis programs, with the ability to aggregate data from multiple sources, analyze trends, and identify potential risks.
• Quantitative and analytical skills, strong understanding of mathematical concepts, statistical analysis, and data modeling, with the ability to independently solve problems with data.
• Ability to prioritize tasks, meet deadlines, and think critically to identify and assess potential risks.
• Basic knowledge of programming languages, such as SQL and Python, to process and analyze large datasets.
• Understanding of risk management principles, including risk assessments, portfolio management, and data visualization.
• Familiarity with financial markets, economic trends, and industry-specific risks to inform business decisions.
• Ability to work with cross-functional teams, including finance, operations, and management, to analyze and mitigate risks.
• Problem-solving ability to identify and address potential risks, with a focus on finding solutions that minimize financial and operational impacts.

ii. Average Salary Range:

• ₹5 LPA – ₹13 LPA

iii. Top Hiring Companies:

• Nomura
• Photon
• Infosys
• ITC Infotech

8. SAS Programmer

A SAS programmer uses SAS software to analyze and manage data. You will write and debug code to create reports and perform statistical analysis, transforming raw data into meaningful insights. 

Further, you will collaborate with teams to understand their data needs and ensuring accuracy in your outputs. You will also use your expertise to help make data-driven decisions by providing clear, actionable information. 

i. Key Skills

Here are the skills required to pursue SAS programmer jobs:

• A strong foundation in computer science, including programming languages like SQL, Java, and JavaScript.
• Proficiency in SQL programming language is essential for data manipulation and analysis.
• Knowledge of Java programming language, particularly in developing web applications and integrations.
• Familiarity with agile development methodologies is important for iterative and incremental development.
• Project management skills to coordinate and deliver projects on time, within budget, and to the required quality standards.
• Proficiency in macro, data analysis, and SAS procedures.

ii. Average Salary Range:

• ₹5 LPA – ₹12 LPA

iii. Top Hiring Companies:

• Capco
• Myntra
• Global Logic
• Birlasoft

9. Data Engineer

Data engineering offers the best-paying jobs after an MBA in business analytics. As a data engineer, you will design, build, and maintain data pipelines that ensure the smooth flow of information across systems. 

You will work with large datasets, developing robust frameworks for data storage and retrieval. Your role involves transforming raw data into a format suitable for analysis and ensuring data quality and integrity. Furthermore, you will collaborate with data scientists and analysts to understand their data needs and provide reliable solutions. 

i. Key Skills

Here are the skills required to pursue data engineering jobs:

• Proficiency in data architecture and ETL processes using tools like Apache Hadoop, Apache Spark, and Talend for large-scale data processing.
• Expertise in programming languages such as Python, Java, or Scala for data pipeline development and data integration tasks.
• Strong problem-solving skills to design, build, and maintain scalable data architectures that meet the analytical and business needs of the organization.
• Understanding of database design, data modeling, and database administration.
• Familiarity with data visualization tools such as Tableau.
• Skilled in statistics and analytical techniques.

ii. Average Salary Range:

• ₹7 LPA – ₹20 LPA

iii. Top Hiring Companies:

• American Express
• Paypal
• Visa
• Wipro

10. Tableau Developer

As a Tableau developer, you will create interactive and visually compelling dashboards using Tableau software. You will be responsible for designing and implementing reports, ensuring data accuracy, and optimizing performance. 

Additionally, you will collaborate with business users to understand their needs and tailor visualizations to meet those requirements. If you want to secure a job in this dynamic field, you should consider enrolling in a Tableau course. This course will help you become proficient in using Tableau software and gain industry-relevant skills.

i. Key Skills

Here are the skills required to pursue Tableau developer jobs:

• Proficiency in Tableau desktop and server.
• Knowledge of data visualization and business intelligence concepts.
• Ability to work with various data sources (e.g., spreadsheets, databases, Big Data).
• Familiarity with SQL and data manipulation.
• Excellent analytical skills to analyze client or business requirements.
• Ability to identify patterns and trends in data.
• Strong problem-solving skills to resolve data-related issues.
• Effective written and business communication skills.
• Strong attention to detail to spot errors in data or coding.
• Ability to work collaboratively with developers and other stakeholders.

ii. Average Salary Range:

• ₹6 LPA – ₹18 LPA

iii. Top Hiring Companies:

• Emerson
• EY
• Wolters Kluwer
• Morgan Stanley

11. Product Manager – Data

As a product manager in data, you will oversee the development and strategy of data products and solutions. You will work closely with cross-functional teams, including data engineers, analysts, and designers, to define product requirements and ensure alignment with business goals. 

The role also involves prioritizing features, managing the product roadmap, and making data-driven decisions to enhance product performance. If you want to pursue a career in this field then you can consider enrolling in a product management course with placement guarantee.

i. Key Skills

Here are the skills required to pursue product management jobs:

• Ability to extract, analyze, and interpret product or service data to inform product strategy, development, positioning, and marketing.
• Understanding of statistical concepts, including probability theory, linear regression, and integral calculus, as well as familiarity with machine learning (ML) and its applications.
• Knowledge of Structured Query Language (SQL) and ability to manipulate data effectively, without relying on business analysts or data engineering teams.
• Developing instincts to make informed decisions about users, business, and product value based on data insights.
• Ability to effectively communicate complex data insights through visualization tools.
• Understanding of market research principles and ability to apply them to product development.
• Familiarity with coding languages like Python and Microsoft Excel as an analytics tool.
• Data-driven decision-making skills to use data to inform product decisions, validate hypotheses, design and run experiments, and measure the impact of product changes.

ii. Average Salary Range:

• ₹12 LPA – ₹28 LPA

iii. Top Hiring Companies:

• Mercedes Benz
• Bain
• Paypal
• Birlasoft
• Inmobi

12. Supply Chain Analyst

The field of supply chain offers some of the best jobs after an MBA in business analytics. As a supply chain analyst, you will focus on optimizing and managing the supply chain process. You will analyze data to identify inefficiencies, forecast demand, and improve inventory management. 

Furthermore, your will collaborate with suppliers, manufacturers, and logistics teams to ensure smooth operations and timely delivery of goods. Supply chain analysts use analytical tools to track performance metrics and recommend strategies for cost reduction and process improvement. 

i. Key Skills

Here are the skills required to pursue supply chain management jobs:

• Ability to collect and analyze data to identify trends, mitigate risks, and improve product delivery.
• In-depth knowledge of mathematical and logical reasoning to develop recommendations for supply chain process improvement.
• Experience with data collection and analysis tools to track and measure supply chain performance.
• Ability to identify and resolve pain points within the supply chain process.
• Knowledge of logistics management, including transportation, inventory, and warehousing.
• Familiarity with supply chain software to analyze weekly purchase recommendations and manage daily material requirements.
• Ability to quantify potential cost savings and develop initiatives to reduce costs.
• Understanding of customer service principles to boost profitability and efficiency.
• Knowledge of packaging and freight capacity utilization to improve total logistics costs.
• Technical skills in areas such as data analysis, problem-solving, and logistics management.
• Good interpersonal, communication, and problem-solving skills.

ii. Average Salary Range:

• ₹4 LPA – ₹14 LPA

iii. Top Hiring Companies:

• Blue Yonder
• Maruti Suzuki
• Delhivery
• Navis
• Flipkart

Conclusion

In this blog, we explored jobs after pursuing an MBA in business analytics along with the skills required, average salary, and top hiring companies. An MBA in business analytics opens up a world of exciting opportunities in today’s fast-changing job market. As a professional in this field, you’ll be at the forefront of analyzing complex data and guiding important business decisions, making a real impact on the future of companies. As more industries realize the power of data-driven insights, the demand for skilled business analysts will continue to rise, making it a rewarding career path. 

You can also check out our blog on how to start a career in business analytics to begin your professional journey in this dynamic field.

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