Muzz
Growth Data Analyst

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London, UK (Hybrid - Tues, Wed and Thurs in office)
£35,000 - £60,000 pro rata + equity
Did you see one of our viral campaigns, like findmohamedawife.com? Or maybe you know one of the 800,000 couples who met through Muzz? Whatever brought you here, now’s the perfect time to join a team on its way to becoming the first billion-dollar Muslim app.
We're looking for a Growth Data Analyst to join our dynamic Data team and help us make better decisions about how we grow Muzz around the world.
You'll be the analytical partner to our Growth team, owning measurement across global marketing activity and turning data into insights that help us acquire, activate, retain and monetise more users.
This isn't a role where you'll simply build dashboards and wait for someone to ask for a report. You'll work closely with Growth, Product and Data teams to understand what's happening, figure out why and identify what we should do next.
If you enjoy solving complex problems, explaining data in simple terms and finding opportunities hidden in the numbers, we'd love to hear from you.
Day to day
- Own measurement across Muzz's global marketing activities and assess how effectively our marketing investments drive growth.
- Build and maintain dashboards that give Marketing teams visibility of their KPIs and enable self-service reporting.
- Analyse marketing performance across channels, markets and campaigns to identify growth opportunities.
- Work closely with regional Brand, Social Media and Events teams to turn data and insights into better marketing strategies.
- Investigate new and emerging marketing channels and assess their potential to drive incremental growth.
- Own and prioritise ad hoc analytical requests from Marketing Specialists across our global markets.
- Turn complex analysis into clear recommendations that help teams make better, data-led decisions.
- Present findings and insights to non-technical stakeholders in a simple and actionable way.
- Train and support business users so they can get the most out of our BI tools and become more self-sufficient with data.
- Work with Product Analysts and Product teams to identify opportunities to use product features and data to improve personalised marketing.
- Analyse opportunities to improve activation, retention and monetisation through better marketing and product collaboration.
- Partner with Data Engineers to improve data models and ensure they can support multiple analytical and business needs.
- Explore new datasets, tools and analytical approaches that can help Muzz better understand its users and growth opportunities.
- Continuously improve how Marketing measures performance, reports results and uses data to make decisions.
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.
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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 we’re looking for
- 2+ years of experience in data analytics, growth analytics, marketing analytics or a related field.
- Strong SQL skills, with experience writing efficient, scalable and maintainable queries.
- Experience building and maintaining BI dashboards, data models, searches and views.
- Strong understanding of marketing measurement and performance, including acquisition, campaign performance and growth metrics.
- Experience working with data-focused marketing teams and translating marketing questions into meaningful analysis.
- Strong analytical and problem-solving skills, with the ability to investigate complex questions and turn findings into clear recommendations.
- Excellent communication and presentation skills, particularly the ability to explain complex data and insights to non-technical audiences.
- Strong stakeholder management skills, with the confidence to work closely with Marketing, Product, Data and regional teams around the world.
- Highly organised and able to prioritise multiple requests while balancing urgent business needs with longer-term analytical projects.
- A commercial and growth mindset, with a genuine interest in understanding how data can unlock new opportunities for the business.
- Comfortable working independently and proactively identifying questions that the business should be asking, rather than only answering questions you're given.
- Experience collaborating with Data Engineers to design and improve data models that can support multiple business needs.


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Must-Haves
- Strong SQL & data skills
- You can confidently write, optimise and maintain SQL queries and work with data models to answer complex business questions.
- Marketing & growth analytics
- You understand how marketing works and can connect metrics, campaigns and channels to meaningful business outcomes.
- Analytical storytelling
- You can turn complex analysis into a clear story, communicate insights to non-technical audiences and make recommendations that people can act on.
- Ownership & prioritisation
- You're organised, proactive and comfortable managing multiple requests, prioritising competing needs and independently finding opportunities to improve how the business uses data.
Nice-to-haves
- Experience with Google BigQuery.
- Experience with Mobile Measurement Platforms such as AppsFlyer or Adjust.
- Experience with dbt.
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