Senior Data Analyst

The Senior Data Analyst is responsible for conducting data gap analysis, transforming data across systems, and ensuring accurate mapping between legacy and modern platforms.

This role involves working with structured and unstructured data, resolving discrepancies, and utilizing modern data tools to support enterprise data initiatives.

Key Responsibilities:

• Conduct gap analysis and perform data transformation activities.
• Develop and execute queries to identify and resolve data inaccuracies.
• Open and manage data pipelines to address discrepancies.
• Work with relational tables, joins, and “As-Is to To-Be” data scenarios.
• Map unstructured data from legacy systems to new platforms.
• Ensure accurate mapping and traceability of data back to source systems.
• Utilize Mongo
  
  DB, IDH, and Redshift for data management and analysis.

• Proven experience in data analysis and transformation.
• Proficiency in Mongo
  
  DB, Aurora, Redshift, and AWS.
• Strong understanding of both structured and unstructured data.
• Ability to map data between legacy and modern systems effectively.

• Experience with enterprise data migration projects.
• Familiarity with data governance and quality assurance practices.

• SQL
• Source-to-Target Mapping

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