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At Uncapped, we help ambitious founders realise their dreams. We are growing rapidly and have a high-profile role to help drive our expansion operations around the world. As part of Uncapped team; you will be involved in building the next generation of products suited specifically for the needs of fast paced digital entrepreneurs. As we continue to expand globally; our goal is to have a team who are capable of getting the most out of our internal data and creating high-level business intelligent streams, while keeping our products ahead of the competition and powering new and exciting services that solve real problems for our customers. As a dedicated Data analyst within our core product, you will be involved in regularly conducting analysis for all stakeholders. Your daily work will impact how and what we build; as well as drive the direction we are heading as a business. You will dive deeper into crucial team metrics, drive best practices and help scale our data governance. The insights generated from your datasets will crucial and used by the rest of the company to enable our growth globally.
Job Responsibility:
Act as a key partner to the Leadership and Product teams, proactively identifying business opportunities and risks through advanced whitespace analysis
Lead the design and maintenance of our data models, set the standards for data integrity, documentation, and peer code reviews
Own the end-to-end lifecycle of complex analytical projects—from hypothesis generation to deep-dive modeling and executive presentation
Define and monitor high-level business metrics (like LTV, CAC, Time2Market), building the automated frameworks that allow the company to track these in real-time
Act as a technical lead for more junior team members, fostering a culture of analytical excellence and teaching best practices in SQL, Python, and data storytelling
Work closely with Backend and Data Engineering to influence our data infrastructure roadmap, ensuring the 'analytical layer' is optimized for speed and accuracy
Requirements:
5+ years of experience in data analytics, ideally within a high-growth Fintech, SaaS, or lending environment
Expert in SQL, capable of optimizing complex queries and architecting efficient data schemas
Proficient in Python for advanced data manipulation and statistical modeling
Extensive experience with BI tools (Metabase, Looker, Tableau, or PowerBI), with a focus on building intuitive, executive-ready dashboards
Strong understanding of statistics (A/B testing, regression, forecasting) and how to apply them to real-world business problems like credit risk or churn prediction
Understand the unit economics of a fintech business and can translate 'messy data' into a clear narrative for non-technical stakeholders
Problem solver, product-minded, always thinking of how their actions will ultimately impact the customer
What we offer:
Unlimited holiday
Competitive compensation plan
MacBook
Personal growth fund
Monthly recognition and awards
The opportunity to make a big impact every day on the lives of European and US entrepreneurs