Data Analyst -
VC-backed Fintech
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Permanent
Reference: 44980
Description
Role Responsibilities:
Business Partnering & Analytics
- Partner cross-functionally with Treasury, Finance, Operations, and Compliance
- Build internal tools to improve real-time visibility and risk management
- Analyse operational performance (e.g. SLAs, processing times) to identify bottlenecks and optimisation opportunities
- Support Finance with unit economics, revenue analysis, and forecasting
- Deliver deep-dive analyses to support leadership decisions and board reporting
- Translate business questions into structured, data-driven insights
- Design and build self-serve dashboards to empower teams with reliable, actionable data
- Continuously improve how insights are accessed and consumed across the business
- Work with the Data Lead to maintain a scalable, reliable data pipeline
- Design and optimise robust data models that support analytics and reporting
- Contribute to a strong, consistent data foundation as the company scales
Experience:
- 6–8+ years in Data Analytics, Data Science, or Analytics Engineering
- Advanced SQL skills (querying, modelling, optimisation)
- Experience with modern data warehouses (Snowflake, BigQuery, Redshift, Postgres)
- Background in fintech, payments, or FX (experience with risk, liquidity, or financial data a strong plus)
- Python experience (e.g. pandas, automation) is a bonus
If you are excited to solve complex problems, influence strategy and build data systems that truly power a business, we would love to hear from you! Please submit your CV and email me at isabella.pasqua@twentyai.com. Or if you are not looking but know of someone who may be interested, please do let me know!
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