Senior Data Analyst

Build strong working relationships with priority Product, Engineering and business partners.

Understand the most important domain decisions, existing analytical products, core metrics and material data gaps.

Deliver early value on a defined analytical problem, with clear assumptions, evidence and next actions.

Develop a practical view of where better measurement, instrumentation or analytical practice will have the greatest impact.

Lead high-impact analytical work from problem definition through to recommendation, adoption and review.

Improve the reliability and usefulness of measurement for priority initiatives, with clearer ownership and quality mechanisms.

Make the adoption and decision-use of priority analytical products visible, using that evidence to improve or simplify the analytical estate.

Be recognised as a trusted analytical and technical guide for partners and peers, improving practice beyond your own delivery.

Strong SQL capability and confidence working with complex, imperfect and evolving data.

Experience building and maintaining analytical solutions in a modern data warehouse and BI environment. We are open to your platform background; transferable judgement matters more than one specific tool.

Demonstrated experience taking a stakeholder problem from discovery through to insight, recommendation and decision support.

Experience partnering with Product and Engineering on metrics, event tracking, data availability, instrumentation or implementation quality.

Strong analytical judgement, including the ability to apply and interpret appropriate statistical methods and communicate limitations clearly.

Experience creating metric models, analyses, dashboards or reports with clear definitions, validation, documentation and ownership.

Evidence of senior-level contribution through mentoring, quality assurance, reusable standards or technical leadership.

Clear written and verbal communication with technical and non-technical audiences.

A practical, curious approach to solving problems: able to move work forward with imperfect information while maintaining a high bar for evidence and impact.

Python experience for analysis, automation or modelling.

Product analytics, product-led growth, experimentation, engagement measurement or B2B SaaS experience.

Exposure to data science methods and sound judgement about when specialist support is needed.

Experience with Databricks or comparable modern data-platform tooling.

Experience working in a fast-moving, remote-first and cross-functional environment.

This is not a people-management role or a role focused solely on dashboard production. It is for someone who can pair hands-on analytical craft with product judgement, senior partnership and a genuine instinct to lift the capability around them.

#LI-REMOTE #LI-AE1