Technical Data Analyst

Responsiblties:

• 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.
• Create and maintain business lineage maps in the Enterprise Data Catalog tool by working with the Data Catalog specialist.

Qualification:

• Minimum 4-year degree in computer science, data science, information science or related field, or equivalent work.
• Minimum 8 Years.
• 2-3 years of experience in working in a data warehouse environment would be required. The candidate must have technical skills as contrasted from a Business Analyst with only requirement gathering experience.

Key Skills:

• Programming languages  In the realm of data analytics, programming languages like Python, R, and SQL are indispensable. 
• Data Visualization Tools.
• Statistical Analysis. 
• Data Wrangling and Cleaning.

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