3 of 3 Remote Metabase Jobs in London

Customer Experience to identify and solve business challenges. Write clean, efficient SQL to analyse large datasets across store performance, labour models, shrink metrics, and fulfilment operations. Build dashboards in Metabase that surface KPIs, performance outliers, and actionable insight for field teams and central operations. Run deep dives into operational pain points such as store availability, C&C failures, missed picks … ownership: Leads projects from scoping through to delivery and iteration, balancing pace with precision. Communication: Able to translate operational insight into clear business recommendations. Visualisation: Designs usable dashboards in Metabase or similar tools (Tableau, PowerBI, Looker) to support day-to-day store performance and long-term planning. Collaboration: Works well in squads, across disciplines, and with BI and Ops peers. More ❯

growth across our digital channels. Key Responsibilities Key Responsibilities Analyse campaign performance across paid search, social, affiliates, display, and CRM to uncover growth opportunities. Build dashboards and reporting in Metabase to track spend, conversion, ROAS, CAC, and lifetime value. Provide data-led recommendations to optimise channel mix, creative performance, and audience targeting. Partner with marketing and product teams to embed … You Proficient in SQL, with experience querying and transforming large datasets across marketing, sales, and customer data sources. Comfortable working with modern data stacks, ideally including Redshift, BigQuery, Matillion, Metabase, and Retool. Strong grasp of performance marketing metrics such as ROAS, CAC, CTR, CPM, and attribution models. Experienced in building dashboards and visualisations that enable data-driven decision-making. Skilled More ❯

Reporting to the Snr Product Analytics Manager, you will play a crucial role in driving data insights and enabling evidence-based decision making across our organization. Utilize advanced SQL, Metabase, and Redshift to extract, transform, and analyze data from various sources to uncover actionable insights and drive business growth. Collaborate with cross-functional teams, including product managers and squads, to … events may be required. Key requirements: Proven experience in product analytics, data analysis, or a related field. Strong proficiency in SQL and experience with data visualization tools such as Metabase/Tableau etc Familiarity with Redshift or other similar data warehousing technologies. Excellent problem-solving skills and the ability to translate complex data into actionable insights. Strong communication and collaboration More ❯