Description

You will bridge business needs and technical implementation through rigorous data analysis and documentation. You own the translation of requirements into functional specifications, data mappings, and models.

Responsibilities

• Gather, analyze, and document business and data requirements across enterprise systems.
• Develop source-to-target data mappings, business rules, and transformations.
• Write SQL queries for data validation, profiling, and quality assessments.
• Contribute to logical and physical data models and entity-relationship diagrams.
• Support SIT and UAT testing by defining scenarios, validating results, and resolving defects.

Required Skills

• Bachelor’s degree with 7+ years of experience, or Master’s with 4+ years.
• Strong proficiency in SQL for data analysis and validation.
• Experience with data mapping, data modeling, and enterprise data analysis.
• Familiarity with Google Cloud Platform, specifically BigQuery.
• Proficiency in Agile methodologies, Scrum, Jira, and Confluence.
• Strong understanding of SDLC and data quality analysis.
• Ability to mentor junior analysts and communicate with stakeholders.

Preferred Skills

• Experience in IT within banking or financial services.
• Familiarity with Ab Initio, Mainframe systems, and Tableau.
• Understanding of enterprise data supply chains and downstream impacts.

Key Skills

Education

Bachelor's or Master's degrees