Data Analyst

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.

Core Responsibilities

• 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.

• 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.

Benefits:

• Company pension


• Free parking


• Life insurance


• On\-site parking

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