Business Intelligence Analyst transforming complex business data into actionable insights at Intel Corporation. Supporting business intelligence solutions and stakeholders' strategic decisions with innovative visual approaches.
About the role
- Senior Data Analyst responsible for data analysis and insights to support Uncapped's global expansion efforts. Engaging with stakeholders to optimize data architecture and analytics processes.
Responsibilities
- 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.
- 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.
- 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.
- 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.
Benefits
- 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
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
Location requirements
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