Full Stack Data Analyst
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Job description
Job DescriptionStaff Full Stack Data Analyst Location: London Hybrid (2-3 days per week)Contract Length: 6 months +Start Date: ASAP We’re partnering with a fast-growing, technology-led business looking for a Staff Full Stack Data Analyst to join a high-impact commercial analytics function on a fixed-term contract basis.This is an opportunity for a senior data professional to step into an established role where you’ll influence commercial strategy, shape analytical direction, and act as a trusted advisor to senior stakeholders across the business. You’ll have significant autonomy, ownership, and visibility from day one. What You’ll Be Doing Own and evolve the analytical architecture supporting customer acquisition, growth, retention, and customer lifecycle insights. Partner with commercial and operational leaders to solve complex business challenges through data. Deliver actionable insights that influence business strategy and drive measurable outcomes. Define and maintain trusted
Requirements
business metrics and reporting standards. Improve data quality, governance, and analytical best practices across the organisation. Build scalable analytics solutions designed for both self-service reporting and AI-enabled decision-making. Mentor analysts and contribute to a strong data culture. What We’re Looking For Extensive experience in analytics and analytics engineering within a fast-paced, commercial environment. Advanced SQL and dbt expertise with a strong focus on data modelling and architecture. Strong experience working with BigQuery or similar modern cloud data platforms. Deep expertise with BI tools such as Looker and LookML. Strong understanding of commercial metrics, customer behaviour, retention, and growth analytics. Proven ability to influence senior stakeholders and translate ambiguity into actionable insight. Experience mentoring data professionals and helping establish analytical standards. Nice to Have Python experience. Experience with experimentation and statistical analysis. Exposure to CRM, revenue, or customer success platforms. Interest in AI-enabled analytics and modern data products. Why Apply? Join a highly respected data team within a successful and growing technology business. Operate at Staff-level with genuine ownership and influence. Work closely with senior commercial leaders on strategic initiatives. Modern cloud data stack and strong data culture. Immediate impact with meaningful business challenges to solve.
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