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Traditionally, adapting to data-driven decision-making has not been a simple and readily acceptable proposition for organizations. In recent years, however, Business Analytics has become mainstream, as more and more enterprises are leveraging analytics to further their reach, boost sales, improve efficiency, and introduce better solutions and services. Leading brands, start-ups, and e-commerce majors are also utilizing business analytics to make their decision-making process speedier and resolve structural setbacks.

To stay abreast of the increasing demand for business analytics professionals, various institutions such as Jigsaw Academy have come up with different business analytics programs. With a certification in business analytics, both budding and experienced working professionals can embark on a thriving career in analytics. Here are a few growing career opportunities that you can avail with a certification in business analytics, such as one in IIM analytics course.

1. Business Analyst / Data Analyst


Essentially, a Business Analyst or a BI analyst can understand the business and data requirements to translate the operational requirements of clients. Moreover, the business analyst has deep domain expertise, being able to perform tasks such as data collection and reporting. Core skills required of business analysts include a combination of analytical and functional skills so that they can drive projects forward and deliver insights on value creation for organizations. 

The key difference between a Business Analyst (BA) and a Data Analyst (DA) is Bas work predominantly on the business end, understanding project scope and requirements, gathering and analyzing data to make effective decisions. On the other hand, DAs have to work with large datasets must have a quantitative background, and experience in different programming and analytical tools.

2. Business Analytics Manager

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Business Analytics (or BA) Managers are currently one of the most sought after profiles. BA Managers have the responsibility to have domain knowledge, drive analytical solutions, and work closely with technical delivery teams to move these solutions to the production stage. 

As a Business Analytics Manager, you must have experience with Python, R, SQL, Tableau, SAS and Excel VBA. The role requires you to have a fundamental understanding of statistical concepts, predictive modelling techniques, and other advanced competencies. With an IIM analytics course, you can leverage the best combination of theory and analytical tools to develop skills crucial for data science field and jump-start your career as a BA Manager. 

3. Data Engineer

Being a Data Engineer, you are tasked with data pipelines, while working on use cases – taking them from pilot to the production stage. The role requires you to have an in-depth understanding of Hadoop-based technologies such as Hive, MapReduce, MongoDB, and Cassandra. 

Also, you must have a thorough background in and NoSQL technologies, data warehousing, and high-level programming languages (Python, R, SQL, and Scala). With a business analytics program from reputable institutions such as Jigsaw academy, you can develop an understanding of the entire Hadoop ecosystem, including database technologies such as Apache Spark and Impala. The business analytics curriculum also includes exposure to cloud computing and management strategies for cloud-based Hadoop and Spark ecosystems.

4. Machine Learning Engineer

Machine Learning (or ML) Engineers are expected to handle large volumes of data – a core competency needed in consumer-facing technology companies. As an ML Engineer, you have the responsibility of designing the solution architecture for applications, along with model training automation, testing & deployment of business solutions to ensure a continuous delivery pipeline. 

Therefore, you must have a thorough understanding of data structures, object-oriented programming, and algorithms. You must also have a background in machine learning techniques such as clustering, regression, decision trees, and neural networks along with structured & unstructured data mining and feature engineering.  

5. MIS Consultant/ Data Visualization Consultant

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As an MIS Consultant, you will have to design and manage a platform for collection, analysis, and reporting of data along with dashboarding skills. In other words, you will have to design reports and dashboards, for which you must have extensive experience with various BI tools and SQL. 

MIS Consultants must have core skills for business analytics such as Data Mining, job-oriented Analytics & Reporting capabilities (using MS-Excel, MS-Access, VBA, SQL, and Tableau.) Moreover, you must have a strong understanding of VBA macros and strengthen them with insightful case studies.

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