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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Analyst - **Company:** COPPER HUB LTD - **Location:** Gourock, UK - **Experience:** Expert - **Salary:** £62,000.0 - £70,553.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Data Analysis, Big Data, Cloud Database, Code Review, Data Architecture, Data Cleansing, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Visualization, Relational Databases, Database Queries, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, NumPy, Power BI, SQL Databases, Tableau (Software), Scripting, Snowflake, Database Optimization, Data Strategy, Pandas, Scikit Learn, Google Bigquery, Looker Analytics, Data Pipelines, Amazon Redshift - **Published:** May 28, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=7c46a73766732aa1 ## About the Role Do you have experience in SQL?, Are you a seasoned analytics professional who excels at leading data strategies and transforming raw architectural data into high-impact commercial outcomes? We are seeking a Senior Data Analyst to lead our business intelligence initiatives in the UK. In this role, you will act as a strategic partner to executive leadership, designing advanced analytical frameworks, pioneering predictive data models, and mentoring junior team members to foster a truly data-driven culture. The ideal candidate is a proactive data strategist who pairs deep technical mastery (SQL, Python, and data pipelines) with exceptional commercial acumen and the ability to influence cross-functional business decisions., * Experience: Extensive, proven professional experience as a Senior Data Analyst, BI Lead, or Strategic Insights Specialist within the UK market. * Expert-Level SQL: Mastery of SQL, including deep expertise in database performance tuning, complex analytical window functions, and managing unstructured or relational data structures. * Programming & Scripting: Strong hands-on proficiency with Python (Pandas, NumPy, Scikit-learn) or R for advanced statistical analysis, machine learning applications, and data cleaning. * Cloud Data Warehousing: Practical experience working with modern cloud data infrastructure and warehouses such as Snowflake, Google BigQuery, or AWS Redshift. * Data Visualization Expertise: A proven track record of designing executive-ready, highly interactive dashboards that drive automated decision-making across complex business units. * Statistical Foundation: Strong understanding of core statistical concepts, including regression modeling, hypothesis testing, significance levels, and sample size calculations. * Commercial Acumen: Exceptional ability to map complex data insights directly to commercial goals, financial metrics, and operational performance indicators. * Communication & Influence: Masterful storytelling and presentation skills, with a demonstrated ability to guide, influence, and align cross-functional stakeholder teams. ## Description * Strategic Insights Delivery: Lead the exploratory data analysis of large, complex datasets to uncover hidden business opportunities, diagnose churn patterns, and drive strategic UK market growth. * Advanced Analytics & Modeling: Build, evaluate, and deploy predictive models, segmentation frameworks, and statistical forecasting tools using advanced Python or R libraries. * Enterprise BI Architecture: Architect, scale, and optimize enterprise-level business intelligence solutions and data models within visualization platforms like Power BI, Tableau, or Looker. * Data Pipeline Collaboration: Partner closely with Data Engineering teams to refine ETL/ELT processes, define optimal data schemas, and ensure the reliability of cloud data warehouses. * A/B Testing & Experimentation: Design, execute, and analyze rigorous statistical experiments and A/B tests to measure the commercial impact of product features and marketing campaigns. * Mentorship & Leadership: Act as the technical lead for analytics, establishing best practices for code reviews, database querying efficiency, and dashboard design documentation while mentoring junior analysts. * Stakeholder Management: Translate complex data architecture and analytical concepts into high-level strategic narratives, presenting recommendations directly to C-suite executives and senior stakeholders. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Vectorize all the things! 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