Technical Data Analyst

Responsiblties:

• Profile new data sources, primarily through SQL and open-source tools; Derive insights and share with the team.
• Identify edge use cases, data anomalies, and outliers as an outcome of Data Profiling activity.
• Capture definitions for all data elements being sourced and document them; Capture the grain of the data and work with Data Modelers to pass on the information.
• Create Source to Target Mapping across multiple layers of data propagation: source to canonical layer to semantic layer.
• Suggest DQ rules for implementation based on data analysis/data profiling performed.
• Support User Acceptance Testing before releases.
• Liaise with Product Owner for deployment co-ordination, business signoffs, and release notifications.
• Update the data dictionary in the Enterprise Data Catalog.
• Create and maintain business lineage maps in the Enterprise Data Catalog tool by working with the Data Catalog specialist.
• Co-ordinate with multiple cross-functional teams and have good inter-personnel skills.

Key Skills:

• Clean and Prepare Data.
• Explore and Analyze Data.
• Apply Statistical Knowledge.
• Create Data Visualizations.
• Create Dashboards and Reports.
• Write and Communicate.
• Acquire Domain Knowledge.