Business Data Analyst

Qh4 Consulting; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Qh4 Consulting is seeking a Senior Data Business Analyst to join its investment management data team in London. The role focuses on leading investment data analysis across transformation and BAU, shaping how data analysis is conducted within the team.

You will translate business requirements into data specifications, support testing for a new enterprise data lakehouse, and contribute to data governance and quality improvements across asset classes.

Qualifications

• Investment management experience with front-to-back data lifecycle knowledge.
• Hands-on with data mastering platforms; security master experience ideal.
• Strong market data knowledge across asset classes and providers.
• Experience with data quality, controls and governance.
• Familiarity with lakehouse architectures and data modelling.
• Experience on large programmes or system implementations.

Responsibilities

• Translate 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.

Skills

Investment data

Data governance

Data modelling

Lakehouse

IBOR concepts

Data mapping

Data quality controls

Stakeholder comms

Job description

Senior Data Business Analyst | Investment Management

London | Permanent - 50% Hybrid Working

Our client, a London based investment manager, is hiring a Senior Investment Data Business Analyst into its data team as part of a major, multi-year data transformation.

The role

This 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

What you'll need

• 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