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Goodman Masson

Business Data Analyst

London
£100k – £150k/yr
Posted about 23 hours ago
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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

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Your Background:

  • 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
  • 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
  • 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)

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This role is not suitable for someone who is strictly technical or engineering-only focused, nor is it relevant for a pure functional/delivery-focused Business Analyst. This is a hybrid role, where 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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Skills

Data Analysis
Stakeholder Management
SQL
Python
Data Modelling
Query Optimisation
Market Data
Alternative Datasets
Equities
Fixed-Income
Data Normalization
Data De-normalization
Trading Strategies
Data Engineering
Requirement Gathering
Implementation

Location

London, England, United Kingdom

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