Data Analyst

Data Analyst

London or Paris (Hybrid - 3 days onsite) - £70,000 - £80,000 + equity + benefits

Our client is a fast-growing fintech operating in the global payments and trade space, focused on improving financial access in emerging markets. They are looking for a Data Analyst to join at a key stage of growth and help shape the data function.

This is a high-impact, hands-on role with strong exposure to senior stakeholders and the opportunity to influence how data is used across the business.

You will work as part of a central data team, delivering analytics that drive decision-making across Finance, Operations, Product, and Compliance. You’ll translate complex business problems into structured analysis and scalable data solutions.

Key Responsibilities

• Partner with teams across Finance, Treasury, Operations, and Compliance
• Build internal tools to support visibility, performance tracking, and risk management
• Analyse operational performance and identify areas for improvement
• Support financial analysis (e.g. revenue, unit economics, forecasting)
• Develop dashboards and self-serve reporting capabilities
• Deliver deep-dive analysis to support leadership and strategic decisions
• Support data infrastructure, pipelines, and data model development

Candidate Profile

• 6-8+ years in Data Analytics, Data Science, or similar
• Advanced SQL and strong data modelling experience
• Experience with modern data warehouses (e.g. Snowflake, BigQuery, Redshift, Postgres)
• Experience working with cross-functional stakeholders
• Strong communication skills with ability to translate data into business insights

Desirable

• Fintech or financial services experience (payments, FX, risk, or treasury)
• Python experience (e.g. pandas, automation, modelling)
• Experience with financial metrics (revenue, forecasting, unit economics)
• Strong commercial mindset and attention to data accuracy

What’s on Offer

• Competitive salary up to £80,000 + equity
• Hybrid working (3 days onsite)
• High-impact role with strong ownership
• Exposure to senior leadership and strategic work
• Fast-paced, collaborative environment

• 6-8+ years in Data Analytics, Data Science, or similar
• Advanced SQL and strong data modelling experience
• Experience with modern data warehouses (e.g. Snowflake, BigQuery, Redshift, Postgres)
• Experience working with cross-functional stakeholders
• Strong communication skills with ability to translate data into business insights

Desirable

• Fintech or financial services experience (payments, FX, risk, or treasury)
• Python experience (e.g. pandas, automation, modelling)
• Experience with financial metrics (revenue, forecasting, unit economics)
• Strong commercial mindset and attention to data accuracy

• Competitive salary up to £80,000 + equity
• Hybrid working (3 days onsite)
• High-impact role with strong ownership
• Exposure to senior leadership and strategic work
• Fast-paced, collaborative environment