The Top Business Analytics Jobs For You

With nearly 90,000 vacancies, India is one of the world’s largest analytics jobs hub according to a recent study by Edvancer and Analytics Magazine India.

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Business Analytics jobs span a variety of different roles with unique skill sets. Here is a breakdown of 5 of the most common roles in this field:

1. Data Scientist

The Data Scientist’s job is to collect, analyze & interpret large, complex data sets for actionable insights.

He or she is required to identify what specific business problems can be addressed using data-driven insights, determine the relevant data sets & variables, collect the structured/unstructured data from various sources, clean & validate this data for accuracy and uniformity, develop algorithms to mine these data sets, identify patterns & trends, interpret the patterns to discover solutions, and communicate these findings to management via visualizations or other means.

Data Scientists generally use a combination of programming, statistical skills, machine learning and algorithms. They are required to be proficient in programming tools such as R, SAS and Python, be skilled in storytelling & visualization, as well as Hadoop & SQL.

2. Data Analyst

The role of the Data Scientist & Data Analyst are closely linked. The Data Analyst, however, is strictly in charge of processing and performing statistical analysis of data to draw conclusions and solve problems.

While the Data Scientist is responsible for formulating questions to help a business, Analysts are generally given the questions and required to find a solution. They generally work on simpler structured SQL or similar databases than the Data Scientist does. However analysts are required to be strong in data visualization methods in order to effectively communicate their findings.

3. Data Engineer

The Data Engineer is a close cousin of the Data Scientist. He/she is responsible for laying the entire foundation that the data scientist/ analyst then work on. Now that’s a pretty important role!

The Data Engineer builds pipelines that transform that data into usable formats. The tasks include compiling and installing database systems, writing complex queries, scaling to multiple machines, and putting disaster recovery systems into place.

Though the Data Engineer needs to know tools and languages such as Hadoop, Spark, and Python, they are required to be highly skilled in understanding concepts well and knowing how to build real-world systems.

4. Data Architect

The Data Architect builds complex computer database systems & creates blueprints for creating, testing and maintaining databases.

He/she uses data modelling, data warehousing, ETL and technologies such as Hive, Pig and Spark to devise and create an end-to-end vision for how data will flow through an organization, develop data models for database structures, integrate technical functionality (e.g. scalability, security, data recovery, etc.) and monitor, refine and report performance of data management systems

5. Database Administrator

The Database Administrator’s job is to oversee storage, organization, functioning of enterprise databases. He or she manages the backup & recovery of critical information, integrates security systems, and handles disaster management.

The job requires mastery over database languages such as SQL, OQL, XQuery, and SQL/XML and includes tasks such as installation of software, servers and updates; transferring of data from old systems to new ones; development, implementation and testing of security systems, backup and recovery plans, monitoring storage space and capacity planning.


Now that you know the options that lie ahead of you, go ahead and take full advantage of your analytics course!

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