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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** Voy - **Location:** London, UK - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Data Analysis, BigQuery, Clinical Data Repository, Information Engineering, Data Governance, Data Transformation, Database Queries, Python (Programming Language), PostgreSQL, Power BI, SQL Databases, Tableau (Software), Snowflake, Build Management, Information Technology, Looker Analytics - **Published:** June 19, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=b262869e2e78517d ## About the Role Do you have experience in Tableau?, * You have strong SQL skills and can write queries confidently to extract, transform and analyse data * You're comfortable with data visualisation tools and understand how to design dashboards that are intuitive and actionable * You think carefully about data -what metrics mean, what the data is actually telling you, and how to communicate it clearly * You're curious and self-driven, comfortable exploring datasets to uncover insights and answer difficult questions * You're a natural communicator who can translate analytical findings into clear, actionable recommendations * You collaborate well with both technical and non-technical stakeholders and take ownership end-to-end * You're excited about working in a fast-paced environment and motivated by the idea that your work helps improve patient outcomes at scale, * 2-4 years of experience in a data analyst, business analyst or similar analytics role * Proficiency in SQL - you can write queries to explore, filter, join and aggregate data reliably * Experience with at least one BI/visualisation tool (Looker, Tableau, Power BI, or similar) * Familiarity with modern data stacks and tools (BigQuery, Snowflake, PostgreSQL, dbt are all helpful) * Strong analytical and problem-solving skills with an eye for detail * Excellent communication skills - able to explain complex findings clearly to diverse audiences * This is a hybrid role requiring 3 days per week in the office Experience you may have * A degree in a quantitative subject (Statistics, Mathematics, Computer Science, Economics, etc.) * Experience in healthcare, public health or regulated industries * Exposure to Python or R for data analysis and statistical work * Experience working in fast-growing, high-impact environments * Familiarity with dbt or other data transformation frameworks ## Description * Conduct ad-hoc analyses to answer business questions from stakeholders across Operations, Finance, Clinical and Programme teams * Identify trends, patterns and anomalies in operational and clinical data that impact service delivery and patient outcomes * Present findings in clear, compelling ways that drive decision-making across the organisation Build and maintain dashboards & reports * Design and build dashboards in Looker that track key metrics across the business - from programme delivery KPIs to financial performance * Develop automated reports that keep stakeholders informed without requiring manual updates * Ensure dashboards are accurate, performant and easy to navigate for end users Contribute to data quality & modelling * Write clear, optimised SQL to query and manipulate data reliably * Collaborate with the Data Engineering team on data modelling, dbt transformations and data governance * Identify and escalate data quality issues and help ensure consistency across systems * Help define and track metrics that matter, ensuring every KPI is well understood and correctly calculated Partner across teams * Work closely with stakeholders across Operations, Clinical, Finance and Programme Delivery to understand their data needs * Communicate complex data concepts in a way that's accessible to non-technical stakeholders * Help drive adoption of data-driven thinking and self-serve analytics across the organisation ## Related Videos - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Making Data Warehouses fast. 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