Senior Data Analyst

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., * Strategic Leadership: Act as a key partner to the Leadership and Product teams, moving beyond "request fulfillment" to proactively identifying business opportunities and risks through advanced whitespace analysis.

• Data Architecture & Governance: Lead the design and maintenance of our data models. You will set the standards for data integrity, documentation, and peer code reviews, ensuring our data stack scales as we grow globally.
• Advanced Analytics: Own the end-to-end lifecycle of complex analytical projects-from hypothesis generation to deep-dive modeling and executive presentation.
• KPI Ownership: 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.
• Mentorship: 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.
• Cross-Functional Influence: Work closely with Backend and Data Engineering to influence our data infrastructure roadmap, ensuring the "analytical layer" is optimized for speed and accuracy.

Our Tech Stack

You will work with these technologies:

• High proficiency in SQL
• Google Cloud Platform for all of our analytics infrastructure
• Dbt-like tool and BigQuery SQL for our data modelling and warehousing
• Dataform for managing data pipelines
• And, anything else you need...

Do you have experience in Tableau?, Do you have a Bachelor's degree?, Who you are

• Experience: 5+ years of experience in data analytics, ideally within a high-growth Fintech, SaaS, or lending environment.
• SQL Mastery: You are an expert in SQL, capable of optimizing complex queries and architecting efficient data schemas.
• Technical Stack: Proficient in Python for advanced data manipulation and statistical modeling.
• BI & Visualisation: Extensive experience with BI tools (Metabase, Looker, Tableau, or PowerBI), with a focus on building intuitive, executive-ready dashboards that drive action, not just "vanity metrics."
• Statistical Rigor: 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.
• Business Acumen: You understand the unit economics of a fintech business and can translate "messy data" into a clear narrative for non-technical stakeholders.
• Problem Solver: You don't wait for a ticket. You see a gap in the data or a drop in a metric and dive in to find the "why" ; and you are product-minded, always thinking of how their actions will ultimately impact the customer.

At Uncapped, our people make us successful. We are a start-up with big goals, and we work hard, so we want to give everyone the benefits they really want. We are continually adding to this list as new people join - here are some of the things you can expect:

• Unlimited holiday: we believe that well-rested and happy people make the best employees
• Competitive compensation plan
• MacBook
• Personal growth fund: Raise your game from great to spectacular
• Monthly recognition and awards: Celebrate wins big and small
• The opportunity to make a big impact every day on the lives of European and US entrepreneurs.
• Workspaces in Warsaw, London and Atlanta

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., Founded in 2019, Uncapped is a fintech company focused on providing working capital to SMEs in North America and Europe. We leverage multiple data sources to make credit decisions faster, safer and more conveniently. We are working with the largest platforms in the world, including Amazon and Walmart, and strive to be the best alternative lender globally.