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Product Analyst (Muslima)

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Product Analyst (Muslima)
# Product Analyst (Muslima) – United Kingdom (Remote)
This position is list**ed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Product Analyst (Muslima) based in the United Kingdom.
This role is focused on driving data-informed product decisions across large-scale social discovery platforms used by millions of users worldwide. You will play a key role in:
- Analyzing product behavior
- Identifying trends
- Uncovering growth opportunities These directly impact user engagement and business performance. The position combines deep analytical work with product thinking, requiring you to:
- Translate raw data into actionable insights
- Test of testable hypotheses You will be responsible for:
- Designing and evaluating A/B tests
- Supporting product experimentation
- Contributing to revenue and growth modeling
The environment is highly international, remote-first, and fast-moving, with a strong focus on:
- Experimentation, data-driven decision-making
- Continuous product improvement
This is an opportunity to work on globally distributed products that aim to improve how people connect and interact online.
Accountabilities
- Analyze core product metrics on a regular basis to detect:
- Anomalies
- Trends
- Early signals of performance changes
- Design, validate, and evaluate A/B tests, ensuring:
- Statistical rigor
- Reliable interpretation of results
- Support:
- The creation
- The prioritization
- The validation of product hypotheses using data-driven insights
- Explore large datasets to:
- Identify growth opportunities
- Uncover hidden relationships between product metrics
- Calculate and monitor unit economics, including:
- LTV
- CAC
- ARPU across user cohorts
- Build:
- Forecasting models
- Impact models to estimate:
- Revenue
- Business outcomes of new features and initiatives
- Collaborate closely with:
- Product teams
- Growth teams
To support:
- Experimentation
- Decision-making
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.
Requirements
- Degree in Mathematics, Statistics, Computer Science, or a related technical field
- Strong understanding of probability theory and mathematical statistics applied to real-world analysis
- Hands-on experience with data analysis tools such as:
- SQL
- Python
- Excel
- Proven experience designing and analyzing A/B tests in a product or growth environment
- Solid knowledge of:
- Marketing metrics
- Product metrics, with practical application experience
- Strong analytical mindset, with the ability to:
- Work independently
- Proactively identify opportunities
- Ability to:
- Extract insights from complex datasets
- Translate them into clear business recommendations
Benefits
- Fully remote work opportunity in a global, distributed team
- Competitive compensation (shared during the recruitment process)
- 28 days of annual vacation + 7 wellness days per year
- Financial support for:
- Professional training
- Conferences
- Industry events
- Corporate discounts for English language learning
- Health benefits or annual health-related compensation support
- Workplace equipment support or remote setup reimbursement (depending on location)
- Referral bonuses for successful candidate recommendations
- Internal reward system with:
- Redeemable perks
- Experiences


Get help with your application
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How Jobgether Works
We use an AI-powered matching process to ensure your application is reviewed:
- Quickly
- Objectively
- Fairly Against the role’s core requirements.
Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
![Data Privacy Notice] By submitting your application, you acknowledge that Jobgether will process your personal data to:
- Evaluate your candidacy
- Share relevant information with the hiring employer.
Processing basis: Legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as:
- Reviewing applications
- Analyzing resumes
- Assessing responses
- Identifying potential inconsistencies or verification signals in application materials.
These tools assist our recruitment team, but do not replace human judgment. Final hiring decisions are ultimately made by humans.
For more information about data processing, please contact us.
(Apologies for formatting inconsistencies in original; Key sections preserved verbatim.)
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