Data Analyst

Job Title: Mid Level Data Analyst / Scientist (Analyst-Focused)

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

Salary: £50,000 + equity

About the Role

I'm working with a Fintech who are looking for a Data Analyst / Scientist with a strong analytical and quantitative background to join a growing data function within a fast-paced, collaborative startup environment. The business already has a Data Scientist in place, but increasing data demands mean there is now a need to add analytical capacity, reduce key-person risk, and embed data more deeply across the business. This role prioritises business insights and decision support over advanced ML, while requiring strong mathematical, statistical, or quantitative skills to inform commercial decisions.

You’ll be working in a collaborative, fast-paced environment where data drives decision-making across risk, fraud, customer insights, efficiency initiatives, and co-brand partnerships. This is an excellent opportunity for someone with strong technical, analytical, and quantitative skills, who is eager to grow with the business and make a tangible impact. You’ll turn complex data into actionable insights that influence commercial and operational decisions, working closely with internal teams and external partners.

Responsibilities

• Work alongside an existing Data Scientist to support analytics and decision-making across the business
• Execute SQL-driven analysis to support decision-making across risk, fraud, bad debt, and efficiency initiatives
• Support initiatives across risk, fraud detection, and bad debt reduction
• Act as a data partner to internal teams and external co-brand partners
• Prioritise incoming data requests and improve efficiency
• Apply quantitative and statistical skills to solve commercial and operational problems
• Translate business questions into analytical solutions using SQL, Python, or R, providing actionable insights
• Help build scalable dashboards and reporting to enable self-serve analytics
• Collaborate closely with data engineers to understand and improve data pipelines, ensuring data quality and accessibility
• Present insights to senior leadership
• Partner with finance, product, and operational teams to deliver data-driven recommendations impacting revenue, cost, and efficiency
• Balance analytical problem-solving with technical rigor, without requiring advanced ML or research experience

Desirable:

• Experience with BI and visualisation tools (Metabase, QuickSight)
• Exposure to Redshift, Snowflake, MongoDB, or Excel
• Fintech or startup experience
• Previous experience in client-facing or stakeholder-facing roles

Profile Fit

• Technically strong but analysis-heavy and commercially curious
• Comfortable partnering with the business to deliver actionable insights
• Motivated by practical impact over theoretical complexity
• Confident influencing decision-making through data-driven recommendations
• Confident in conversations with senior stakeholders and peers
• Enjoys working in an in-person, highly collaborative environment

Why This Role Is Exciting

• Join a small but growing data team with exposure to multiple business areas
• Opportunity to help shape and evolve the data function from support to strategic partner
• High exposure to senior leadership and commercial decision-making
• Work on high-impact projects that directly influence company growth, revenue, and efficiency

If this sounds like you or someone you know then send your CV over to Zoe.Hinkinson@propellondon.com