The Company We’re Octopus Legacy: one of the fastest growing tech companies in the country, part of the UK’s most exciting and best-trusted group (you may have heard of some of our sister companies…) and we have a mission. We’re on a path to scale, aiming to become a household name while transforming a long-established industry and helping our customers prepare for, and find support after, death. But we can’t do it alone, and that’s why we’re assembling a team of top performers to build with us.

Ready to be part of something big? The Role We’re looking for a Data Analyst to join our growing data team at Octopus Legacy. You’ll play a central role in helping teams across the business make smarter, faster, more informed decisions.

While you’ll sit within the data team, your day-to-day will involve working directly with stakeholders from across the organisation such as Growth, Product and Operations. You’ll turn messy real-world data into actionable insights, bring structure to ambiguity, and help the business better understand what drives performance. This is a hands-on, high-impact role in a fast-moving environment.

You’ll need to be comfortable navigating shifting priorities, championing a data culture, and bringing rigour to complexity. We’re still early in our data journey - right now, the focus is on building the foundations: modelling key metrics, creating dashboards, and getting reliable data into the hands of the people who need it. As our data maturity grows, there’ll be opportunities to go deeper into analysis, experimentation, and more advanced analytics.

Key Responsibilities

: Act as a thought partner to teams across the business - helping them define problems, clarify questions, and uncover the metrics that matter Translate stakeholder needs into end-to-end data solutions: from raw data to dbt models to dashboards in Metabase Define and document clear, consistent metrics to support better decision-making across departments Build intuitive, impactful dashboards that make data accessible and actionable for non-technical users Deliver ad-hoc and project-based analysis to evaluate initiatives in growth, product, operations, and beyond Collaborate with the data team to improve the reliability, clarity, and accessibility of our data models and pipelines Operate with a high degree of autonomy - scoping projects, pushing for clarity, and challenging assumptions when needed Contribute to a culture of curiosity and rigour, laying the groundwork for more advanced analytics and data science over time Who Are You? You have 2+ years of experience in a data analytics role, ideally in a startup or a company building out its data capability You're proficient in SQL and have worked with BI tools (like Metabase, Looker, or Tableau) to build dashboards that help teams make better decisions You have hands-on experience with dbt or similar tools, and a solid understanding of data modelling best practices You’re comfortable working with messy or incomplete data, and know how to turn it into something clean, structured, and useful You enjoy working with non-technical stakeholders - you ask thoughtful questions, clarify ambiguous requests, and help teams think through what they really need You take ownership of your work, are comfortable scoping projects with limited direction, and aren’t afraid to challenge assumptions You’re curious, pragmatic, and excited by the idea of shaping a modern data function from the ground up Bonus: you have an interest in experimentation or data science, and are keen to grow into more advanced analytics over time Skills and Knowledge Must haves: Strong curiosity and proactive mindset, with the ability to independently explore data, ask the right questions, identify opportunities, and drive projects forward without requiring constant guidance. Experience in data analytics and the ability to extract actionable insights from complex datasets.

Proficiency with SQL, dbt python is desirable.