It depends on how the Analytics & Data Science team is structured in an org but usually you will see following trend:
- “Big Data Developer” usually rolls up under the Engineering org. They are responsible for building the data pipelines that feed data to the “data platform” — they use things like Hadoop, Spark, Custom Code, ETL tools, etc to build data pipelines and are responsible developing and maintaining the data platform. And to succeed in this role you need to have deep technical chops. Other titles for this role: Data engineer, Software engineer, etc.
- “Data Analyst” usually rolls up under some “business” team like strategy, operations, growth, product, marketing, sales, etc. Data Analyst are the link between the “data platform” and the “business” — these guys are primary consumer of the “data platform” (sometimes you might see shared ownership of data platform between engineering and analytics). They help solve business problems using data and pull data from the “data platform”. These guys need to have a good balance between business and technical skills to be successful in this role.