⚑ New

Business Data Analyst

Goodman Masson

LondonFull-timeMid LevelOn-site

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.

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