We’re working with a fast-growing fintech in the payments space looking to hire a Data Analyst into their central data team.
This is a high-impact role at an exciting stage of growth, with strong exposure across Finance, Treasury, and Operations.
- Partner with Finance, Treasury, and Operations to deliver key business insights
- Analyse performance metrics (e.g. SLAs, processing times) to identify improvements
- Support revenue analysis, forecasting, and unit economics
- Build and maintain self‑serve dashboards for internal teams
- Contribute to data models and support the wider data infrastructure
- Deliver deep‑dive analysis to support leadership decision‑making
- 6+ year's experience in Data Analytics / Data Science
- Advanced SQL skills (querying, modelling, optimisation)
- Experience with modern data warehouses (e.g. Snowflake, BigQuery, Redshift)
- Strong stakeholder management and business‑facing experience
- Ability to translate business problems into data‑driven insights
- Fintech / payments / FX experience
- Exposure to financial metrics (revenue, forecasting, unit economics)
- Python experience (pandas, automation)
- Experience working in fast‑paced or startup environments
Location: London (Hybrid – 3 days in office)
If this sounds of interest, feel free to apply or reach out directly for more details
#J-18808-Ljbffr”, “datePosted”: “2026-05-17”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Rev & Regs”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__435486407__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=33” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }We’re working with a fast-growing fintech in the payments space looking to hire a Data Analyst into their central data team.
This is a high-impact role at an exciting stage of growth, with strong exposure across Finance, Treasury, and Operations.
- Partner with Finance, Treasury, and Operations to deliver key business insights
- Analyse performance metrics (e.g. SLAs, processing times) to identify improvements
- Support revenue analysis, forecasting, and unit economics
- Build and maintain self‑serve dashboards for internal teams
- Contribute to data models and support the wider data infrastructure
- Deliver deep‑dive analysis to support leadership decision‑making
- 6+ year’s experience in Data Analytics / Data Science
- Advanced SQL skills (querying, modelling, optimisation)
- Experience with modern data warehouses (e.g. Snowflake, BigQuery, Redshift)
- Strong stakeholder management and business‑facing experience
- Ability to translate business problems into data‑driven insights
- Fintech / payments / FX experience
- Exposure to financial metrics (revenue, forecasting, unit economics)
- Python experience (pandas, automation)
- Experience working in fast‑paced or startup environments
Location: London (Hybrid – 3 days in office)
If this sounds of interest, feel free to apply or reach out directly for more details
#J-18808-Ljbffr…
