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Ocean Red

Senior Customer Analytics Consultant

United Kingdom
ÂŁ520/day
Posted about 21 hours ago
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Senior Customer Analytics Consultant

Overview

🏢 Company | Large data & technology business
👤 Job | Senior Customer Analytics Consultant
🎯 Impact | Customer insight, segmentation, predictive modelling, product and marketing decisions
📍 Location | UK remote
📅 Contract | 6 months
🕘 Hours | 37.5 hours per week
💰 Rate | £520 per day (Inside IR35)
🚀 Start | ASAP

The Job

You’ll join a cross-functional analytics team supporting Product and Marketing teams with customer insight, segmentation and predictive modelling.

This is a good fit if you like work that sits close to commercial decision-making. Your analysis won’t disappear into a dashboard nobody opens. You’ll be helping teams understand customer behaviour, improve targeting, shape product and marketing decisions, and spot where data can unlock growth.

You’ll get plenty of ownership. You’ll lead analytics projects, manage stakeholder conversations, and turn complex data into clear recommendations that people can act on. The team needs someone who can get moving quickly, ask sharp questions, and explain the “so what?” behind the numbers.

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.

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Graduate Consultant — 2026 Scheme

PwC¡London, UK
ÂŁ35,000/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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It searches the market for you

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.

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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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Strong

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.

You’ll be working remotely, but closely with other analysts and senior stakeholders. The culture suits someone who enjoys autonomy, clear thinking, and using data to challenge assumptions in a constructive way.

What You’ll Be Doing

  • You’ll build customer insights that inform targeting, positioning and growth strategy.
  • You’ll create segmentation and predictive models to better understand customer behaviour.
  • You’ll use SQL to query large datasets independently.
  • You’ll translate analysis into clear stories for Product and Marketing stakeholders.
  • You’ll identify where data can improve commercial performance.
  • You’ll contribute to better analytical standards across the team, sharing knowledge where useful.

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What You’ll Need

  • You’ll need strong SQL skills and experience working with large datasets.
  • You’ll have 4+ years’ experience in analytics, ideally around customer, product or marketing data.
  • You’ll be confident with segmentation, predictive modelling or personalisation.
  • You’ll be able to explain analysis clearly to non-technical stakeholders.
  • You’ll have a numerate degree, such as Mathematics, Statistics, Economics, Engineering, Physics or similar.

Useful Experience

  • Customer lifetime value modelling.
  • Churn or decay modelling.
  • Marketing attribution.
  • A/B testing.
  • Next best action or personalisation.

Interview Process

  • CV review
  • Recruiter call
  • Client submission
  • Client interview process
  • Offer

Click apply and we’ll share the full details in confidence.

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Skills

SQL
Customer Analytics
Predictive Modelling
Customer Segmentation
Stakeholder Management
Data Storytelling
Customer Lifetime Value Modelling
Churn Modelling
Marketing Attribution
A/B Testing
Personalisation
Commercial Analysis

Location

United Kingdom

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