
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Growth Analyst
Growth Analyst | Up to £80,000 | London (4 days office)
About the Role
We are partnering with a fast-growing, venture-backed Direct-to-Consumer (DTC) subscription business focused on the consumer sector. Our client is currently hiring a Growth Analyst to join their Acquisition and Product/Growth team.
The business is highly data-driven, with analytics at the core of decision-making across Product, Marketing, and Finance. This is a commercially focused role where you will not only generate reports but also uncover opportunities to optimise acquisition, retention, and Lifetime Value (LTV).
The role requires creativity, analytical rigor, and comfort working in a high-pace, experimental environment with stakeholders who value impact-driven insights.
Key Responsibilities
-
Perform end-to-end growth analysis across the entire customer journey:
- Acquisition
- Activation
- Retention
- Lifetime Value (LTV)
-
Conduct cohort analysis, segmentation, and deep-dive customer lifecycle studies to reveal insights about behavioural trends and growth levers
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.
Start with a chat, not a search bar
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.
-
Design and evaluate A/B tests and experiments, ensuring rigorous testing frameworks to validate ideas
-
Build and maintain dashboarding systems and KPI reports aimed at supporting Go-To-Market strategy
-
Identify drivers of performance changes and spotlight growth opportunities for the business
-
Work closely with Marketing teams to optimise channel performance
-Translate insights into actionable recommendations and collaborate with senior stakeholders (Product, Marketing, and Finance) to drive strategy executions
Requirements
- Proficient in SQL and have experience using a BI tool (e.g., Looker, Tableau, Power BI)
- Demonstrated experience in consumer tech, subscription, e-commerce, or digital business sectors
- Background in Growth, Product, or Marketing Analytics (perferably applying analytics to subscriptions, paid content, or recurring revenue)
- A strong academic record, with clear evidence of analytical impact and career progression
- Commercial mindset — able to translate analytics into tangible business decisions
- ** Strong stakeholder management** skills, capable of communicating with non-technical leadership
- Proactive and curious—comfortable working with ambiguous data and elevator research questions


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Desirable
- Experience with A/B testing or experimentation frameworks
- Exposure to attribution modelling or Marketing Mix Modelling (MMM)
- Experience with forecasting or opportunity sizing
- Python coding or advanced analytics skills (processing, modelling, or predictive analysis)
Day-to-day process:
- Screening Interviews:
- 30-minute introductory interview + 45-minute founder interaction session (in-person)
- Technical Assessments:
- Submit a take-home analysis task and SQL challenge (via video interview)
- Final Discussion:
- In-person final interview focused on analytical problem-solving and execution
Ready to join this initiative? Find more details and apply here.
“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
Skills
Location