Data Analyst

Job Title: Mid–Senior Level Data Analyst / Scientist (Finance & Data Science)

Location: Hybrid – 4 days onsite (Victoria, London) & 1 day remote

Salary: £60,000–£65,000 + equity (flexible for the right candidate)

I'm working with an exciting fintech startup that is redefining travel and loyalty spending through innovative debit card solutions. The business is at a stage where data-driven insights are critical to growth, and they are seeking a mid-to-senior level Data Analyst to join their Finance & Data Science team.

This is a hands-on role for someone who enjoys solving real-world business problems and turning complex data into actionable insights. You will work across finance, product, marketing, and operations to influence key decisions. Strong communication and presentation skills are essential, as you will regularly present findings to senior leadership and external partners.

Key Responsibilities

• Analyse large, complex datasets to uncover trends, patterns, and opportunities that impact revenue, costs, and operational efficiency.
• Partner with finance, product, operations, and marketing teams to deliver commercially-driven insights.
• Translate business questions into analytical solutions using SQL, Python, or R, providing actionable recommendations.
• Develop dashboards, reports, and visualisations using BI tools (Power BI, Tableau, Metabase) to enable self-serve insights across teams.
• Work with data engineers on data modelling and orchestration pipelines using DBT and workflow tools like Airflow.
• Present insights clearly to senior stakeholders and non-technical audiences through compelling data storytelling.
• Monitor and improve the performance of analytics solutions over time.

Required Skills & Experience

• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or equivalent practical experience.
• 3+ years of hands-on experience in data analysis with commercial impact, able to influence business decisions.
• Strong experience with DBT for data modelling and transformation.
• Experience with data warehouses such as Snowflake or Redshift.
• Proficiency in SQL, Python or R, and BI/visualisation tools (Power BI, Tableau, Metabase).
• Excellent communication and stakeholder management skills, able to explain complex analyses clearly to senior leadership and external partners.
• Commercial awareness, with the ability to turn data into actionable business insights.

Preferred Skills

• Familiarity with fintech or startup environments.
• Exposure to agile or cross-functional team working.
• Experience deploying or maintaining analytics solutions in production, with version control (Git, Bitbucket).

Why This Role Is Exciting

• Join a small but growing mid-to-senior level team, helping shape how data drives commercial decisions.
• High exposure to senior leadership and cross-functional stakeholders.
• Work on high-impact projects that directly influence revenue, cost, and operational efficiency.
• Competitive salary, equity plan, private healthcare, and 25 days holiday.

If this sounds like you or someone you know then send your CV over to [email protected]