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Harnham

Commercial Data Analyst

London
£350 – £400/day
Posted 16 days ago
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Senior Commercial Data Analyst

Location: London (2–3 days onsite) Contract Type: Outside IR35 Rate: £350–£400 per day Tenure: 3-month contract

About the Role

This is a high-impact contract opportunity for a Senior Commercial Data Analyst to deliver commercially focused insights across multiple markets. You will play a key role in shaping revenue and profitability decisions, collaborating closely with senior stakeholders.

The Company

An international organisation, established across diverse markets, prioritises data-driven decision-making. Their analytics function is pivotal in driving commercial performance and achieving strategic goals.

You will join a collaborative analytics team with high visibility within leadership, operating in a fast-paced, commercially focused environment—where analytics directly link to business impact.

Reasons to use Rodeo

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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

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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Strong

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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Responsibilities

  • Deliver deep-dive analyses on revenue, profitability, and commercial performance
  • Build and refine customer lifetime value (LTV) models, applying them to real-world business scenarios
  • Analyse customer inflow/outflow trends, identifying value drivers and sources of loss
  • Identify key drivers of churn, revenue leakage, and pricing inefficiencies
  • Work with P&L data to support profitability and EBITDA improvements
  • Partner with senior stakeholders to provide actionable, market-focused insights

Requirements

Must-Have Skills & Experience

  • Advanced SQL proficiency with experience handling large datasets
  • Proven commercial analytics expertise in revenue, profitability, and customer value
  • Expertise in LTV modelling, including the ability to articulate methodology and impact
  • Experience working with P&L data and tools like Databricks
  • Ability to quickly deliver insights and communicate effectively to senior leadership
  • Bonus: Python experience

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Preferred

  • Exposure to Databricks and commercial analytics frameworks

This role requires a proactive, data-savvy individual with a track record of turning complex analytics into measurable business outcomes. Perfect for someone who thrives in fast-paced, commercially driven environments with a passion for strategic impact.

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Skills

SQL
Commercial Analytics
Revenue Analysis
Profitability Analysis
Customer Value
Lifetime Value Models
P&L Data
Business Performance
Data Analysis
Churn Analysis
Pricing Optimization
Actionable Insights
Databricks
Python

Location

London, England, United Kingdom

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