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Data Analyst at Eligible Limited

Are you a scrappy data person who loves turning complex longitudinal data into commercial narratives? This growth-stage UK fintech is looking for a Data Analyst to join their mission in eliminating financial anxiety for over 1 million mortgage holders. Operating a modern stack of Redshift, dbt, and LightDash, you'll move beyond simple reporting to build sophisticated cohort forecasting and experimentation frameworks. This is a high-impact, remote-friendly role where you will partner directly with leadership and major financial institutions to shape the future of proactive, data-driven customer engagement. If you thrive on autonomy and want to see your analytical output drive real-world impact, this is the role for you.

About this role

Role overview

You will take ownership of a live data environment, evolving a Redshift, dbt, and LightDash stack into a sophisticated analytical engine. Beyond maintaining reporting, you'll drive commercial value through cohort modelling and forecasting, helping the UK’s leading financial institutions proactively support over 1 million consumers through complex financial decisions.

About the company

Eligible Limited

Eligible Limited

Eligible Limited (eligible.ai) is a UK-based fintech company that provides an AI-driven mortgage servicing and retention platform for lenders, brokers, and financial institutions. Its software uses customer and mortgage data to deliver personalised, automated engagement throughout the life of a mortgage, educating borrowers, surfacing key “moments” such as product end dates or refinancing opportunities, and prompting timely advice. The platform aims to help firms increase mortgage retention, drive higher revenue and ROI, and improve regulatory and consumer-duty outcomes by ensuring every customer receives relevant, ongoing communication. Eligible’s solution is used by thousands of advisers and hundreds of thousands of consumers, offering real-time customer journeys that boost retention, cut servicing costs, and reduce risk for mortgage providers.

What you'll do

What you will do

  • Maintain and fix the data transformation layer in dbt and LightDash to ensure 100% trustworthy reporting for client-facing teams.
  • Develop complex cohort-level forecasting and retention models to underpin board-level reporting for Tier-1 mortgage lenders.
  • Partner with product and engineering teams to instrument new features and conduct rigorous experimentation analysis on user journeys.

Who you are

Who this is a fit for

  • 3+ years in data analytics with expert-level SQL and Python (pandas/numpy) skills in a startup or scale-up environment.
  • Hands-on experience building and testing transformation models in dbt within a cloud warehouse environment, preferably Redshift.
  • Proven ability to navigate complex relational data structures (B2B2C/SaaS) and translate technical findings into clear narratives for non-technical stakeholders.

Why this role

Why this role is remarkable

  • Direct impact on the financial well-being of over 1 million mortgage holders by transforming how lenders engage with customers through data.
  • Join at a pivotal growth stage as a founding member of a dedicated data function, working alongside a new VP of Engineering and Data Science Lead.
  • High-autonomy remote culture that values execution, monthly London workshops, and the opportunity to influence product strategy through deep behavioural insights.

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