Deliver insights that drives product and business decisions.
Design, implement, and maintain dashboards and recurring reports to monitor product performance, hiring funnel metrics, and data quality.
Ensure metrics are well-documented and aligned with business definitions.
Partner with stakeholders to design experiments, analyse results, and recommend data-driven next steps.
Build and maintain reliable data pipelines and transformations in collaboration with the data engineering team.
Conduct ad-hoc analyses that inform strategic decisions and insights.
Communicate findings clearly through written summaries, visualisations, and presentations to stakeholders at all levels.

Experience of data analysis, business intelligence, product analytics or similar.
SQL skills for extracting and transforming data from analytical warehouses.
Experience building dashboards and visualizations.
Good understanding of experimentation and metrics design — you can define reliable success criteria and track impact.
Product-minded — you can balance speed with rigor, surface insights that matter, and communicate findings clearly to non-technical stakeholders.
Collaborative — you enjoy working across functions with product, design, engineers, and researchers.

Data Analyst

Key skills