Harnham
Commercial Data Analyst

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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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
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.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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