Data BA

Data Business Analyst - 6-Month Contract (Outside IR35) - Fully Remote Contract: 6 months (high chance of extension) Location: Fully Remote IR35 Status: Outside IR35 Rate: Competitive We're looking for a Data Business Analyst to play a key role in a major data migration and modernization program. This is an opportunity to work on a cutting-edge initiative leveraging AI and modern data platforms to transform legacy systems into a future-ready architecture. What You'll Do Phase 1: Foundation & Discovery Legacy Inventory & Triage: Lead discovery of 40-50 legacy sources and thousands of tables/jobs. Run workshops with business stakeholders to classify assets (Retire, Archive, Deprecate, Strategize). Business Impact Analysis: Map complex transformation logic to business outcomes, ensuring AI-driven templates preserve critical functionality. Wave Planning: Organize data products into migration waves based on business priority, dependencies, and resource constraints. Phase 2: Build & Pilot Logic Validation: Partner with the AI/Automation Lead to confirm GenAI-generated logic explanations are accurate and clear. Pilot Support: Work closely with the first migration team to identify onboarding challenges and improve documentation. Phase 3: Scale & Support UAT Coordination: Act as the bridge between the Migration Factory and business teams. Manage UAT schedules for 50-60 data products across multiple units. Defect Triage: Separate technical bugs from business logic issues and route accordingly. Stakeholder Sign-off: Own the "Ready for Production" process, ensuring confidence in migrated data. What We're Looking For Technical Skills Strong SQL and ability to navigate complex data lineages. Familiarity with modern data platforms (Snowflake, Databricks, Azure) and ingestion tools (ADF and similar). Interest or experience with Generative AI tools for code analysis and documentation.Soft Skills Skilled in workshop facilitation with senior stakeholders. Strong problem-solving mindset to streamline onboarding and migration processes. Comfortable working in ambiguous, evolving environments where roles shift by project phase