Data Business Analyst – Asset Management

Overview

In this Data Business Analyst role at a global asset manager, you translate business data needs into clear, actionable deliverables and own discovery across multiple initiatives. You collaborate with data owners, architects and engineers to shape the data platform, define data quality and governance requirements, and drive data product delivery. You’ll support testing, enable adoption, and contribute to the firm’s data strategy to generate client alpha. This is a business-facing, influential role that balances technical detail with stakeholder engagement.

Pay / Benefits

• Salary up to 100k + bonus
• Pension
• Private medical insurance including 24 hour GP access
• Enhanced parental leave policy
• 25 days annual leave
• Ongoing training and development support

Responsibilities

• Partner with Data Owners and stakeholders to understand data needs and translate them into deliverables
• Own discovery and scoping across a portfolio of initiatives; define data quality expectations and ownership boundaries
• Translate business needs into data contracts, user stories, acceptance criteria, and project scopes; prioritise and sequence delivery
• Support testing and user acceptance to ensure new data capabilities meet business needs
• Evaluate and implement data capabilities (quality, metadata, cataloguing, MDM, observability)
• Collaborate with technology teams and vendors to ensure alignment with data architecture and governance; drive adoption through documentation and training
• Identify opportunities to improve data quality, traceability and delivery; promote a data product mindset
• Contribute to shaping the firm’s data strategy and how data drives client alpha

Key requirements

• Experience as a Business Analyst delivering data or technology projects in investment management or capital markets
• Ability to translate business needs into clear functional and technical data requirements
• Strong technical understanding of data pipelines, ETL, data modelling and data product delivery
• Comfort discussing data, APIs and integration design with architects and engineers without hands-on coding
• Strong stakeholder management and ability to influence senior investment professionals and technical teams
• Degree educated with a 2.1 or above from a top tier university

• Stakeholder management
• Communication
• Influence
• Data pipelines
• ETL
• Data modelling

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