Lead Data Analyst

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 curious and proactive Lead Data Analyst to join our growing team at Octopus Legacy. Reporting to the Head of Technology, you’ll have a real opportunity to shape our data culture and drive data-informed decision making across the business.

You’ll dive deep into our data - analysing, interpreting, and uncovering insights that influence strategy and business priorities. You’ll work closely with department heads to translate findings into actionable recommendations that help the company grow.

As we continue building out our data pipeline and improving our stack, you’ll help identify what’s missing, capture new data sources, and guide how we use them. You’ll also play a key role in educating the wider team, organising company KPIs into a cohesive structure that supports our strategic goals.

We’re looking for someone who’s naturally inquisitive, confident working independently, and excited by the challenge of helping us build and scale our data function from the ground up.

Key Responsibilities: 

Data Analytics

• Analyse complex datasets to uncover insights that inform business decisions.
• Build reports and dashboards to track key metrics and KPIs.
• Translate business questions into clear, actionable data analysis.
• Visualise data and tell compelling stories that bring insights to life.

Stakeholder Collaboration

• Partner with department heads to identify priorities and provide data-driven recommendations.
• Understand stakeholder needs and deliver meaningful, actionable insights.
• Help non-technical teams interpret data and apply it in decision-making.

KPI Management

• Support leadership in defining and structuring KPIs across the business.
• Develop a cohesive KPI tree aligned with company goals.

Data Engineering 

• Maintain and improve our existing data pipeline to ensure data quality and reliability.
• Integrate new data sources and prepare them for analysis.

Team Leadership

• Line-manage and mentor a Data Analyst, providing guidance and clear priorities.
• Help shape the growth of the data function and define best practices.
• Foster a culture of curiosity, collaboration, and continuous improvement.

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 and other data query languages.
• Proven ability to work closely with business stakeholders and translate their needs into data-driven solutions.
• Experience in developing reports and dashboards to monitor key metrics.
• Strong communication skills, including the ability to present complex data in a way that is understandable and actionable for non-technical stakeholders across departments.
• Proficiency with data visualisation tools (e.g., Tableau, Looker, Metabase).
• Ability to educate and train stakeholders on data literacy.

Nice to haves/we can work on these:

• Basic skills in maintaining and evolving data pipelines.
• Basic programming skills in languages such as Python or R for data manipulation.
• Understanding of statistical methods and their application to business problems.
• Experience working in a startup or fast-paced environment.
• Management experience

Bonus if you:

• You have a basic understanding of Data Science concepts and are interested in learning more.
• You have experience in training or educating non-technical teams on data literacy.

For reference, we use:

• MySQL
• Fivetran
• BigQuery
• Dbt
• Python
• SQL
• Metabase
• GitHub Actions

Benefits

• Octopus share incentive scheme.
• Hybrid working (London Bridge).
• Flexible holiday + extra day off for your Birthday.
• Work from anywhere in the world for up to 4 weeks per year.
• Vitality Health & Life Insurance. 
• Pension scheme.
• Enhanced parental leave.
• Free Will & LPAs + discounts on other Octopus services.
• Cycle to Work Scheme and access to the Electric Vehicle (EV) Salary Sacrifice Scheme.
• Octopus Giving: we match any charitable fundraising that you do up to £500. 
• Octopus Springboard: where we help our employees become fully-fledged entrepreneurs.
• Dog friendly office.
• Breakfast every day, snacks and wellness activities.

We know that to be truly innovative, we need to have a diverse team around us. That is why Octopus Legacy is committed to creating an inclusive environment and is proud to be an equal opportunity employer.