ABC Flights
Senior Product Analyst

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Senior Product Analyst / Data Scientist
Location
South West London
Working pattern
Hybrid — three days onsite and two days remote
Contract type
6 month fixed-term contract (extension possible)
Rate
£150-£250 per day (outside IR35)
Hours
Full-time (4-5 days)
About the role
We are looking for an experienced Senior Product Analyst to join our consulting team on a six-month fixed-term contract. You will work across client engagements, using product data, experimentation and statistical methods to answer complex commercial questions. The role requires someone who can move confidently between product, marketing and technical teams, turning ambiguous business problems into robust analysis and practical recommendations. You will be expected to manage analytical work independently, communicate directly with clients and deliver high-quality outputs within consulting deadlines.
Key responsibilities
- Lead product and marketing analysis across multiple client engagements.
- Translate client objectives and commercial questions into structured analytical plans.
- Design, implement and analyse A/B tests and other controlled experiments.
- Apply causal-inference methods to measure the impact of product, marketing and operational initiatives.
- Analyse customer journeys, product usage, conversion, retention and engagement.
- Define KPIs, success metrics and measurement frameworks.
- Build and analyse complex datasets using SQL and Python.
- Produce clear dashboards, reports and client-ready presentations.
- Identify data-quality and tracking issues and recommend practical improvements.
- Manage multiple priorities and deliver accurate work within agreed timelines.
- Use Claude and agentic AI systems to improve analytical workflows, research, documentation and delivery.
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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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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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.
Essential experience and skills
- A degree in Statistics, Computer Science, Engineering or another quantitative discipline.
- 7+ years of professional experience in analytics, data science, data engineering or a closely related field.
- 3+ years of experience designing, running and analysing A/B tests.
- 3+ years of experience in product or marketing analytics
- Strong statistical knowledge, particularly in causal inference, experimental design and hypothesis testing.
- Advanced SQL skills and experience working with large or complex datasets.
- Strong Python skills for data analysis, statistical modelling and automation.
- Strong analytical and structured problem-solving skills.
- Ability to explain complex analytical concepts clearly to non-technical audiences.
- Practical knowledge of Claude, agentic systems and AI-assisted analytical workflows.
- Ability to work independently across multiple projects in a fast-paced consulting environment.
- Ability to work onsite 2 to 3 days per week (Hammersmith / High Street Kensington)


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Nice to have
- Experience with AWS, Google Cloud Platform or another cloud environment.
- Experience developing, deploying or evaluating machine-learning models.
- Experience working with technology, SaaS or digital-product clients.
- Familiarity with product analytics, experimentation and visualisation platforms.
- Previous experience mentoring analysts or reviewing analytical work.
What we offer
- £150-£250 per day
- Top class mentorship
- Opportunities to apply advanced experimentation, causal inference and AI-assisted analytics.
- Hybrid working, with two remote-working days each week.
How to apply
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