Harnham
Senior Product Analyst

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I'm hiring a Senior Product Analyst for one of the UK's leading digital marketplace businesses.
This is a brilliant opportunity to join a highly mature analytics environment and work on a product used by millions of consumers, helping shape how customers buy and sell through a complex two-sided marketplace.
The role
This is a classic Product Analytics role focused on understanding customer behaviour, product performance, experimentation, and growth.
- You'll sit within the Growth Analytics team, working closely with Product, Marketing, Commercial teams, agencies, and external partners to solve business problems and improve customer outcomes.
- The business operates a sophisticated analytics ecosystem, with advanced event tracking and behavioural data collected across the entire customer journey.
- Rather than relying on traditional web analytics tools, they've invested heavily in modern product analytics capabilities and data products.
What you'll be doing
- Analyse consumer behaviour across a two-sided marketplace
- Understand how customers buy, sell, browse, and engage with products
- Partner with Product and Growth teams to answer complex business questions
- Design and evaluate experiments to improve customer and commercial outcomes
- Own and develop product metrics and measurement frameworks
- Translate ambiguous stakeholder requests into structured analytical approaches
- Build actionable recommendations that influence product decisions
- Support product teams through experimentation and performance analysis
- Mentor and coach other analysts within the wider analytics community
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.
See breakdownIt 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.
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.
What they're looking for
Must-haves
- Strong SQL skills
- Python experience
- Product, customer, growth or marketing analytics experience
- Experience working with experimentation programmes and A/B testing
- Strong stakeholder management skills
- Ability to influence decisions using data
- Experience dealing with ambiguity and turning questions into actionable insight
Strongly preferred
- Experience working with high-volume customer data
- Marketplace, gaming, gambling, travel, fintech, ecommerce or similar customer-rich environments
- Strong statistical knowledge
- Experience with product analytics and behavioural tracking
- Experience mentoring or coaching other analysts
Nice to have
- Knowledge of Bayesian or Frequentist experimentation approaches
- Experience with event-level analytics platforms
- Predictive analytics exposure
The team
- You'll report into the Analytics Team Lead within the Growth Analytics function and work closely with senior analytical leaders across Product and Growth.
- The wider analytics and data science community is over 30 people strong and sits within a highly developed Product & Technology organisation of around 400 people.
- This is a business where analytics plays a central role in product decision-making and experimentation is embedded into how teams work.


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What success looks like
The expectation isn't that you'll arrive and immediately transform everything. The first few months will focus on:
- Understanding the product ecosystem
- Learning the customer journeys
- Building relationships with stakeholders
- Becoming familiar with the experimentation and measurement frameworks
As you become embedded, you'll take ownership of larger analytical initiatives and drive product decisions through insight and evidence.
Why this role?
- Work on one of the UK's largest digital marketplaces
- Join a highly mature product analytics environment
- Strong experimentation culture
- Excellent exposure to Product and Growth teams
- Opportunity to influence customer experience at scale
- Collaborative, data-driven culture
- Significant investment in analytics, data science, and product
Package
- £50,000-£70,000 salary
- Additional 10% of salary awarded in shares every year
- 28 days holiday + bank holidays
- Private healthcare and wellbeing benefits
- Pension scheme
- Hybrid working (3 days onsite)
- Remote working periods during parts of the year
Interview process
- Technical and stakeholder-focused interview
- Final panel interview with presentation
If you're a Senior Product, Customer, Growth, or Insight Analyst who enjoys experimentation, commercial problem-solving, and influencing product decisions, this is an excellent opportunity to join a genuinely data-led organisation.
“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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