A global consumer platform with a large, engaged user base — connecting millions of consumers with leading brands across fashion, tech, lifestyle, and education. Active in 100+ markets, this business is data-first and digital at its core, driving innovation through experimentation, advanced analytics, and actionable insights. This is a fantastic opportunity to contribute to a high-growth, international environment where analytics and business impact go hand in hand.
The Role and Responsibilities:
This is a hands-on and strategic analytics position, ideal for someone looking to blend technical expertise with commercial influence. You’ll have the option to grow into leadership or develop along a high-impact individual contributor (IC) path — both well-supported in the organisation. You'll collaborate with stakeholders across marketing, product, engineering, and leadership, helping drive key decisions through analytics, experimentation, and predictive modelling.
Your work will be highly visible and make a tangible impact on customer experience, commercial performance, and strategic planning.
Initial Focus Areas
* Marketing & Channel Measurement - Understand and optimise marketing investments and channel performance.
* User Engagement & Churn - Analyse behaviours to drive customer retention and lifetime value.
* Forecasting & Predictive Modelling - Build models that inform planning, budgeting, and strategic decision-making.
* Commercial Opportunity Identification - Partner with commercial teams to surface high-value growth opportunities across key markets.
Your Skills and Experience:
We're looking for a pragmatic and commercially minded analyst who can drive actionable insight through advanced analytics. The ideal candidate will bring:
* Strong statistical and advanced analytics skills (e.g. regression, clustering, forecasting)
* Hands-on experience with Python and SQL
* Ability to communicate complex findings clearly to non-technical stakeholders — influencing decision-makers across the business
* A background in Mathematics, Statistics, Economics, Data Science, or a similar quantitative field
* Experience in fast-moving, data-rich environments (consumer platforms, eCommerce, marketplaces, or similar sectors a bonus)
Apply Below!
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Analyst
* Industries
Retail
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