Senior to Mid Level Data Analyst

London (Hybrid) | £120,000 - £150,000

Our client is a data-driven organisation looking for an analyst who can do more than pull numbers - someone who can shape how the business actually understands itself. This is a permanent role based in London with a hybrid working arrangement, sitting at a salary that reflects the seniority they're genuinely looking for.

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About the Role

You'll work closely with stakeholders across the business to translate complex datasets into clear, actionable insight. Day to day, that means:

• Designing and maintaining dashboards and reporting pipelines that non-technical teams can actually use and trust

• Conducting deep-dive analysis to surface trends, anomalies, and opportunities that inform commercial and operational decisions

• Working with engineering and product teams to define data requirements, improve data quality, and build the infrastructure that makes good analysis possible

• Owning the full analytical cycle on key projects - from framing the question through to presenting findings to senior leadership

• Identifying gaps in current data collection and measurement, and making the case for what should change

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What We're Looking For

• Solid experience in a data analyst role - mid to senior level - with strong SQL skills and comfort working across large, messy, real-world datasets

• Proficiency in at least one visualisation tool (Tableau, Power BI, Looker, or similar) and the ability to build reporting that people outside the data team actually rely on

• Experience working with Python or R for analysis beyond what SQL alone can handle - statistical modelling, automation, or ad-hoc investigation

• Strong communication skills: you can explain a finding to a CFO and to a product manager in the same week without changing the substance, only the framing

• Familiarity with modern data stack tooling (dbt, Airflow, cloud data warehouses such as BigQuery, Redshift, or Snowflake) is a genuine advantage

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Benefits and Perks

Competitive package

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How to Apply

If this sounds like the right next step, apply with your CV and a brief note on a piece of analysis you're proud of - what the question was, how you approached it, and what changed as a result. That context matters more than a cover letter.