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Data Analyst - Data Transformation Programme
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-09-13
Listing for:
Qh4 Consulting
Full Time
position Listed on 2026-09-13
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst, Data Warehousing
Job Description & How to Apply Below
London | Permanent - 50% Hybrid Working
Our client, a London based investment manager, is hiring a Senior Investment Data Analyst into its data team as part of a major, multi-year data transformation.
The roleThis is a hands-on senior data analyst position. You will lead investment data analysis across both the transformation programme and BAU, and help formalise how data analysis is carried out within the team. The core of the work:
- Translating business requirements into data requirements and technical specifications, and supporting the testing of deployments in a new enterprise data lakehouse
- Supporting the implementation of data mastering systems, including a security master and IBOR, from configuration through to data model alignment and integration with the wider architecture
- Evaluating market data inputs and usage across asset classes, covering reference data, pricing and indices, to confirm completeness, quality and efficient use
- Reviewing data usage patterns to identify redundant or duplicated datasets that can be consolidated or retired
- Supporting the migration from legacy systems to the target architecture: mapping sources front to back, producing data flow diagrams and expanding the data catalogue
- Contributing to data governance, data quality and wider data management activity, working with internal technology teams and third party partners
- Investment management experience and a solid understanding of investment data across the front-to-back lifecycle, including IBOR concepts and how market data is used
- Hands-on experience with data mastering platforms; involvement in a security master implementation is ideal
- Strong knowledge of market data and financial datasets across asset classes, and familiarity with the main providers
- Practical experience of data quality, controls and governance
- Exposure to modern data platforms, ideally lakehouse architectures, plus data modelling and data flow mapping skills
- Experience on large programmes or system implementations, and the communication skills to work with both technical and business teams
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