Senior Data Analyst translating data into insights for fintech. Collaborating with teams to drive product strategies and operational improvements in embedded finance sector.
Responsibilities
Translate raw and processed data into clear, compelling insights that guide product decisions and strategic improvements.
Deep dive into complex datasets and business problems, identifying root causes and solving them independently.
Work closely with the day-to-day functioning of the business to understand downstream impacts and ensure insights are practical and implementable.
Drive end-user actions through data – not just analysis, but real-world outcomes.
Collaborate with product and operational teams to deliver data stories they can understand and act on.
Build and maintain dashboards and reports using BI tools to support ongoing performance tracking.
Ensure a high level of accuracy, consistency, and reliability in all data outputs.
Validate data sources, logic, and results to maintain trust and integrity across teams.
Implement checks and processes to catch anomalies and prevent errors before insights are shared.
Maintain documentation and audit trails for key analyses and reports.
Requirements
Proven experience in data analysis, preferably in fintech or product-led environments
Strong proficiency in SQL and at least one BI tool (e.g., Power BI, Tableau, Qlik)
Exceptional storytelling skills – you can turn numbers into narratives that influence decisions
Ability to work autonomously and communicate insights in a clear, business-friendly language
A proactive mindset with a strong sense of ownership, curiosity, and accuracy
Previous experience in credit decisioning and credit risk is highly advantageous.
Benefits
Competitive salary and performance-based bonus
Opportunities for personal and professional growth
Flexible work arrangements and supportive culture
Exposure to industry-shaping innovation in embedded finance
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