Business Analyst – Data Programme (Asset & Investment Management) | London, UK | Hybrid

Strike IT • London, England, GB • 1w ago

We are seeking experienced Business / Data Analysts to join a leading Asset & Investment Management organisation on a multi-year Data Transformation Programme . This initiative is focused on reinventing and modernising the firm’s data platform and wider data estate, with a strong emphasis on forensic data analysis, migration, and decommissioning of legacy platforms . Contract Details
• Duration: 6–12 months (initial, likely to extend into 2026) • Location: Hybrid, London (3 days onsite per week) Responsibilities
• Conduct detailed data and system analysis across objects, pipelines, data flows, and consumer use cases to support a phased decommissioning of legacy platforms. • Analyse existing hierarchy models and data flows against new vendor solutions to define detailed scope, migration approach, and implementation plan. • Perform forensic-style data analysis, including review of system logs and lineage , to validate dependencies and support migration away from legacy hierarchies. • Assess and document data flows and capabilities to support consolidation of applications and re-sourcing data from the new strategic data platform. • Translate complex technical findings into business-friendly documentation and act as a bridge between technical teams and senior business stakeholders. • Support the definition of target operating models, migration strategies, and roadmaps to enable long-term transformation. Experience
• Proven experience as a Business Analyst / Data Analyst within Asset & Investment Management (buy-side essential). • Strong hands-on skills in data mapping, lineage, migration analysis, and system-to-system data flows . • Comfortable with forensic-style analysis , including log-level review, data validation, and detailed dependency mapping. • Ability to operate both at the deep technical analysis level and in translating complex detail into clear, actionable outcomes for stakeholders. • Familiarity with data governance, data quality, and data integration within financial services. • Strong stakeholder engagement skills across front, middle, and back office. • Agile/hybrid delivery methodology experience.

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