Business Data Analyst

Goodman Masson; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Job summary

Goodman Masson in London is partnering with a leading alt investment manager for a high-impact hybrid role that blends commercial acumen, stakeholder management and deep data engineering expertise. You will bridge the gap between traders and the data engineering team, shaping scalable data infrastructure and translating trading strategies into data requirements across equities and fixed income.

The role demands 10+ years in a similar function, experience with market/alternative data, strong SQL

Qualifications

• 10+ years of experience in a similar role.
• Extensive experience with market/alternative data across multiple asset classes; Bloomberg or Refinitiv/LSEG experience preferred.
• Deep understanding of schemas, data modelling, and query optimisation; working SQL & Python knowledge.
• Proven stakeholder management with front office; bridging developers/engineers and traders.
• Understanding data normalization/de-normalization when integrating multiple vendors and internal systems.
• Experience with equities & fixed income (buy or sell-side).

Responsibilities

• Operate across the full data life cycle from requirements to delivery.
• Gather and clarify business requests; partner with data engineering to deliver.
• Ensure data products align with architectural standards and principles.
• Utilise market and alternative data to translate trading strategies into scalable requirements for front office.

Skills

Data modeling

SQL

Python

Stakeholder management

Front office liaison

Vendor data integration

Equities

Fixed income

Job description

We have partnered with a highly successful alternative investment manager on a very exciting hybrid position where you will be given the opportunity to capitalise on both your commercial acumen and stakeholder management skills alongside your technical background & expertise.

Sitting in their London office, you will be bridging the gap between the traders and the data engineering team to support the scaling data infrastructure of the firm.

Key responsibilities:

• Operate across the full data life cycle - from requirement gathering through delivery
• Gather and clarify business requests into actionable deliverables, partnering closely with the data engineering team to support implementation and delivery
• Ensure data products are implemented in line with architectural standards and principles
• Utilise market data and alternative datasets across multiple asset classes to translate complex trading strategies into scalable data engineering requirements, ensuring seamless delivery to the front office

Your background:

• 10+ years experience in a similar role
• Extensive experience working with market data/alternative datasets across multiple asset classes (ideally with vendors like Bloomberg or Refinitiv/LSEG), experience working across structured & unstructured datasets
• Deep understanding of schemas, data modelling principles, query optimisation - working understanding of SQL & Python will be important
• Demonstrated experience in stakeholder management with front office - comfortable acting as the bridge between developers/engineers & traders
• Understanding data normalization and de-normalization challenges when integrating multiple vendors and internal systems
• Experience with equities & fixed-income asset classes (buy or sell-side)

This is suitable for a technical business analyst who is comfortable dealing with different stakeholders - you will need to utilise your technical background in order to sit with traders, understand their priorities, and feed this back to our data engineers.

This is a very unique opportunity to sit in a high-impact role in a hugely successful business.