Senior Data Analyst

Role overview

Analytics delivery and enablement

• Deliver pipelines, dashboards, experiments, and stakeholder narratives, using AI to accelerate the work.
• Build prompt workflows, AI-assisted analysis, faster Metabase iteration, and automation where useful.
• Coach colleagues to use AI and Metabase confidently for self-service analytics.

Business impact

• Partner with leadership on commercial questions and turn marketplace understanding into decision-driving analysis.
• Use BigQuery and Hex to identify acquisition opportunities and analyze platform value.
• Study care-provider platform usage, conduct experiments, and communicate Found's value.
• Support Finance process improvement, accuracy, and board reporting.
• Scope requests and create self-service dashboards to prevent repeated ad hoc work.

Required qualifications

• At least 4 years of data analytics experience and strong SQL skills, including reviewing and correcting generated queries.
• Practical day-to-day use of AI tools in analytics, with evidence of improved speed or quality.
• Commercial judgment, problem-solving ability, and comfort with ambiguity.
• Ability to influence varied stakeholders and clearly explain analyses and methodology.
• Numerical and statistical aptitude.

Tools and helpful experience

• The stack includes BigQuery, Dataform, Metabase, and Hex; experience is helpful but not essential with comparable tools.
• Marketplace or go-to-market experience is a plus; B2B, B2C, and consultancy backgrounds are considered.

Compensation and benefits

• Salary is listed as £60,000–£80,000 plus equity; the salary cadence is not stated.
• The posting mentions a generous EMI share offering and 26 days of holiday plus bank holidays.