Best Career Opportunity after PGDM in Business Analytics - Skills, Jobs, Salary

Introduction

As businesses continue to embrace digital transformation, the field of business management has evolved with a wide range of emerging career opportunities. Among the most in-demand roles is that of a Business Analyst—a professional who converts data into meaningful insights that help organizations make informed decisions, solve business challenges, and drive sustainable growth.

If you want to become a business analyst in one of the top reputed organizations or budding startups, a PGDM or an MBA in the Business Analytics domain is your way to go. To tell you all about it, this blog discusses the important skills, career options, salaries, and scope of a career in business analytics. So, let’s get straight into it.

PGDM in Business Analytics: Course, Eligibility, Curriculum

A PGDM or an MBA in Business Analytics is a conventional postgraduate degree in business management focused on the emerging field of business analytics. This 2-year degree prepares management aspirants with the education & knowledge of best business practices to transform data into key insights to drive business decisions. A PGDM or an MBA in Business Analytics uses a multidisciplinary approach by making management graduates understand the fundamentals of business, leadership, management, communication, technical aspects, and business analytics skills.

When talking about PGDM & MBA in business analytics, it’s important to understand the nitty-gritty of this domain. In simple terms, business analytics is the process of analyzing data to make informed business decisions. It involves collecting, segregating, processing, and analyzing data using statistical, quantitative, and operational analysis to drive actionable business insights.

In a nutshell, business analytics allows businesses to leverage data to enhance productivity, efficiency, and revenue.

Skills Every Business Analytics Professional Needs

Gaining success in the career path of a Business Analyst requires a management graduate to have a requisite skill set in data analytics. Here is a list of the most imperative skills for business analysts:

• A deep understanding of statistics and probability to read between the figures and derive meaningful conclusions
• Proficiency in data visualization to convert unstructured data into digital representations
• Basic knowledge of programming languages to identify work processes and improvements in software
• Excellent communication skills to communicate their ideas and strategies to all stakeholders involved
• Strong analytical skills to analyze data and help businesses make informed decisions for their growth

Among other skills, data analysts should have sound knowledge of analytical tools, computer systems, SQL servers, Excel, process modeling, documentation, critical thinking, and interpersonal skills.

Career opportunities after PGDM in Business Analytics

In the last decade, data analytics after a PG degree in business management such as an MBA or a PGDM has emerged as a leading career choice for professionals - offering high earning potential. Some of the top career roles in this domain are data scientist, business analyst, data scientist, etc.

Let's discuss some of the prominent job roles in detail:

1. Data Analyst

A data analyst works on collecting, processing, and analyzing data as per financial figures, sales numbers, market research, logistics, and more. The primary role of a data analyst is to interpret and analyze results for a specific business problem.

The day-to-day responsibilities of a data analyst include:

• Interpreting and analyzing data using statistical methods
• Implementing databases, data collection tools, and data analytics strategies
• Data acquisition and management
• Recognizing patterns in complex data sets
• Reviewing data regularly to filter out unnecessary data

2. Business Analyst

The most clear-cut job role after a PGDM or an MBA in data analytics is a business analyst. The fundamental role of a business analyst is to identify business areas for improvement and suggest strategies to increase efficiency and productivity.

On a day-to-day basis, they fulfil the following responsibilities:

• Understanding and evaluating the changing needs of the organization
• Developing innovative solutions for strategic and operational changes
• Maintaining effective communication between all the involved stakeholders
• Analyzing data models and deriving logical conclusions
• Planning budgets and forecasts to adhere to the cost limits

3. Data Scientist

Quite similar to the data analyst, a data scientist works on collecting and interpreting data using quantitative analysis. They can use their analysis to predict, evaluate, and share information across varied departments of the company. They fundamentally work with technologies and tools like SQL, R, SAS, and Python.

In simpler words, data scientists analyze large data sets using machine learning and visualization tools to structure data to form meaningful interpretations. Their day-to-day responsibilities include:

• Identifying data sources and automating data-collecting processes
• Pre-processing unstructured and complex data sets
• Discovering patterns in large data sets
• Proposing strategies and solutions to resolve business problems
• Building machine learning models and algorithms

4. Data Engineer

Every business today is using data to come up with the best solutions for business growth. Here comes the role of the data engineer to build, upgrade, maintain, and test the infrastructure, ensuring that it can run algorithms and tools.

Here's a brief description of the responsibilities of a data engineer:

• Developing and maintaining data architectures as per the business requirements
• Identifying the best ways to provide data efficiency and reliability
• Performing predictive and prescriptive modeling
• Deploying machine learning and statistical methods for proper functioning

5. Domain-Specific Analyst

Among other career options, you can choose to work as a specialized analyst in any vertical after a PG degree in management - be it finance, marketing, operations, or human resources. Each specialized job role comes with its specific day-to-day activities to carry out the functions of the organization.

Some of these responsibilities are:

• Finance analysts analyze statements to evaluate investment-related opportunities
• Marketing analysts study offline sales data and digital trends to realize the performance of the products and services
• Operations analysts review policies and guidelines, analyze data, and create reports to improve the functionality of the company
• HR analysts maintain accurate administration of all HR actions using company guidelines and policies

Jobs Roles and Salaries after PGDM in Business Analytics

Today, every business or organization is highly dependent on data and analytics to expand and grow in the industry. Thus, there is a high demand for business and data analysts with good salary packages. On average, the entry-level salary for an MBA or a PGDM degree holder in Business Analytics starts from INR 10-12 lakhs per annum and goes up to 25 LPA for experienced professionals. The salary package is influenced by a variety of factors, including skills, expertise, relevant work experience, company location, job demand, and more.

Mentioned below is the average salary for various roles after an MBA in Business Analytics:

If you also want to do an MBA or a PGDM to acquire much-needed skills for a fulfilling career in business analytics, PIBM's MBA Course is an excellent choice. As a leading B-school, PIBM's postgraduate programs help you to acquire the technical and soft skills to take up roles in the field of business analytics.

What is the Future Scope of PGDM in Business Analytics?

Over the years, businesses have been proactively using business analytics to maximize profits and gain a competitive edge in the industry. As technology advances and the undying need for data-driven decisions amplifies, the future scope of business analytics sees no bounds. Thus, we can say that the scope of business analytics is vast and promising in varied verticals.

• Automation: There is an increased focus on automating tasks to gather and interpret data quickly and efficiently, ensuring real-time solutions. It helps organizations make decisions faster with better accuracy.
• Big Data Analytics: Witnessing the exponential growth of data, businesses today are using the power of big data tools like Hadoop or Spark to gain profound insights into market trends, customer behaviour, and other strategies to maximize growth.
• Artificial Intelligence (AI): As AI has swayed all industries alike, there is a greater dependency on machine learning and AI algorithms to monitor patterns, make predictions, and optimize decision-making processes.
• Cloud Computing: Companies and organizations today are heavily relying on cloud computing platforms to manage data and analytics. It helps them to reduce costs and enhance scalability.
• Internet of Things (IoT): The IoT revolution caters to vast amounts of data for augmented business performance. It helps organizations to build products and services as per the needs and requirements of the customers.

In a nutshell, businesses are resorting to business analytics to maximize their business performance. Organizations acquire deeper insights using automation, big data analytics, AI, cloud computing, IoT, etc to make informed decisions for long-term success in the industry.

Top Companies Hiring for Business Analyst Jobs

There is an extensive demand for professionals with a PGDM or an MBA in Business Analytics. From large organizations to startups, all companies are looking for professionals with analytical skills. Some of the top leading recruiters that are hiring for business analytics roles in varied domains are:

• Top recruiters in consulting and multinational companies are KPMG, Accenture, Deloitte, McKinsey and Company, and BCG (Boston Consulting Group).
• Top recruiters in financial corporations are American Express and Morgan Stanley.
• Top Recruiters in tech giants are Google, Facebook, Amazon, Microsoft, Wipro, HCL, Infosys, Larsen & Toubro, Reliance, Tata Group, etc.
• Recruiters from all industries require professionals with data analytics skills.

Conclusion

In conclusion, business analytics is an excellent career path for anyone with a passion for numbers and statistics. It not only provides excellent career options but also offers highly rewarding compensation. If you also want to carve a career for yourself in this field, start by earning a PGDM or an MBA in business analytics.

PIBM is a top B-school in Pune that offers one of the best PGDM programs in Business Analytics specialization with a deep focus on skills acquisition. PIBM’s PGDM program in Business Analytics is an advanced industry co-designed course that uses case study analysis, a practical learning approach, live projects, simulations, and more to train students to become successful business analytics professionals. Additionally, students gain hands-on experience in cutting-edge analytical tools like Python, R, Tableau, Power BI, SAP, etc. Moreover, students are provided with experiential learning through simulations and role-plays to make informed choices using varied factors like customer preferences, changing trends, and performance.

Visit the page now to scale up your career in the analytics domain.

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