Data Analyst

• Data Extraction & Cleaning: Mine primary and secondary data sources using advanced SQL queries. Clean, validate, and prune datasets to guarantee absolute data integrity and eliminate duplicates or anomalies.
• Dashboard Creation: Design, construct, and maintain interactive business intelligence dashboards and tracking tools using Power BI, Tableau, or Looker to reflect key business performance metrics.
• Trend Analysis & Forecasting: Run statistical tests on large datasets to uncover shifting historical patterns, spot anomalies, and build predictive data models to help guide forecast strategies.
• Stakeholder Reporting: Translate technical metrics into plain-English summaries. Regularly present data visualizations, performance reports, and actionable strategic insights to both technical and commercial teams.
• Process Automation: Continually identify opportunities to streamline manual reporting processes by building automated data workflows, optimizing query speeds, and developing internal pipelines.
• Data Governance & Compliance: Work closely with engineering and internal audit teams to monitor data quality, manage standard data schemas, and ensure compliance with UK data protection regulations.

Do you have experience in Tableau?, Are you an analytical problem-solver who transforms complex, raw datasets into actionable business intelligence? We are looking for a dedicated Data Analyst to join our expanding insights and analytics team in the UK. In this role, you will play a vital part in identifying commercial trends, developing automated reporting systems, and delivering the evidence-based insights our leadership needs to make strategic decisions.

The ideal candidate has a meticulous eye for detail, a strong grasp of data-modeling principles, and the ability to translate complex data narratives into clear, compelling stories for stakeholders at all levels., * Experience: Proven professional track record working as a Data Analyst, Business Intelligence (BI) Analyst, or Insights Specialist within the UK market.

• SQL Mastery: Advanced proficiency in writing and optimizing complex SQL queries, handling subqueries, window functions, and managing relational databases.
• Data Visualization: Hands-on experience developing advanced, user-friendly dashboards in Power BI, Tableau, or Qlik.
• Statistical Software: Strong familiarity with programming languages tailored for data manipulation and statistical computing (specifically Python or R).
• Excel Expertise: Deep knowledge of advanced Microsoft Excel functions (including Power Query, complex nested formulas, and data modeling frameworks).
• Data Architecture: Basic understanding of data warehousing concepts (e.g., star/snowflake schemas) and cloud database infrastructure like Snowflake, BigQuery, or AWS Redshift.
• Analytical Mindset: Excellent numerical capability coupled with a methodical, logical approach to solving complex operational or financial data issues.
• Communication Skills: Strong collaborative and verbal presentation abilities, allowing you to confidently guide non-technical stakeholders through data findings.

Pulled from the full job description

• Life insurance
• Free parking
• Company pension
• On-site parking