Lead Product Data Analyst
The Guardian is seeking a Lead Product Data Analyst to drive insights, guide decisions, and nurture a test-and-learn culture within the Product & Engineering (P&E) department for long-term success. This role combines hands-on analytics with strategic storytelling and strong stakeholder engagement to help the organisation understand user behaviour and inform product decisions at scale.
Lead Product Data Analyst
The Guardian is seeking a Lead Product Data Analyst to drive insights, guide decisions, and nurture a test-and-learn culture within the Product & Engineering (P&E) department for long-term success. This role combines hands-on analytics with strategic storytelling and strong stakeholder engagement to help the organisation understand user behaviour and inform product decisions at scale.
About the role - Maintain hands-on expertise in SQL and Python (or R) to build and query robust data models, especially when working with large datasets to support product development. - Utilise BI tools like Tableau or Looker to monitor performance and apply statistical methods, including A/B testing and experimentation. - Translate complex findings into well-structured narratives that clearly communicate recommendations to technical and non-technical stakeholders. - Deliver insights impactfully by tailoring messages and coaching others to do the same. - Manage a pipeline of work, keeping key stakeholders updated on progress, blockers, and outcomes. - Collaborate with UX research and other insights functions to foster a data-driven decision-making culture in P&E. - Contribute to a year-long learning agenda, designing tests to support it, and advocate for tracking within the product experience to align with organisational goals.
About you - Extensive experience as a data analyst in a product environment. - Experience translating data into insights that support business decisions; applying statistics to strategic problems. - Proficient in SQL and Exc
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About the role - Maintain hands-on expertise in SQL and Python (or R) to build and query robust data models, especially when working with large datasets to support product development. - Utilise BI tools like Tableau or Looker to monitor performance and apply statistical methods, including A/B testing and experimentation. - Translate complex findings into well-structured narratives that clearly communicate recommendations to technical and non-technical stakeholders. - Deliver insights impactfully by tailoring messages and coaching others to do the same. - Manage a pipeline of work, keeping key stakeholders updated on progress, blockers, and outcomes. - Collaborate with UX research and other insights functions to foster a data-driven decision-making culture in P&E. - Contribute to a year-long learning agenda, designing tests to support it, and advocate for tracking within the product experience to align with organisational goals.
About you - Extensive experience as a data analyst in a product environment. - Experience translating data into insights that support business decisions; applying statistics to strategic problems. - Proficient in SQL and Exc
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Based on: Lead Product Data Analyst
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