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Towards Data Science
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Data Analyst or Data Engineer or Analytics Engineer or BI Engineer ?
- The author shares their journey of transitioning from a QA engineer to the world of data analytics through self-teaching.
- The confusion between job titles like Data Analyst, BI roles, and others was a common dilemma faced by the author and others in the industry.
- The article breaks down the differences between data roles using a real-world scenario of a fictional startup called Quikee.
- It highlights the data needs of Quikee, from capturing raw data to building data pipelines, dimensional modeling, defining KPIs, and analysis.
- Data Engineers handle tasks like ingesting real-time data, validating schema consistency, and moving data to a data warehouse.
- Dimensional modeling and OLAP enable fast, analytical querying by structuring data into Fact and Dimension Tables.
- Analytics Engineers define KPIs, write logic for complex metrics, and ensure consistent definitions across the company.
- Data Analysts focus on answering business questions, building dashboards, running ad-hoc queries, and storytelling with data.
- The article concludes by discussing where individuals fit based on their interests and strengths in data roles.
- It emphasizes that titles are less important than understanding where one adds value and what energizes them in their role.
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