Envisage Recruitment Limited

Senior Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst on a 12-month rolling contract, hybrid in Whitley, UK. Key skills include advanced Tableau proficiency, data management tools experience (Google BigQuery, EDW), and strong communication. Automotive or luxury retail experience preferred.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
240
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πŸ—“οΈ - Date
January 7, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Fixed Term
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Coventry, England, United Kingdom
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🧠 - Skills detailed
#Tableau #Stories #Data Analysis #EDW (Enterprise Data Warehouse) #Data Management #Jira #SQL (Structured Query Language) #BigQuery #Agile #Datasets #Data Warehouse
Role description
Job Title: Senior Data Analyst (12-Month Rolling Contract) Location: Whitley, UK (Hybrid: Generally 3 days on-site) Employment Type: 12-Month Contract (Inside IR35 / Rolling) Contract Type: Hybrid (3 Days onsite/ 2 days Onsite) Sponsorship: No Sponsorship Provided (Must have full right to work in the UK) The Opportunity: The Business Performance Intelligence function within the Global Customer Care team has enabled a strong data capability model across the organization to leverage data-driven decision-making across all aspects of Parts and Accessories (P&A) Revenue performance and Customer Satisfaction. This role is part of the Retail Performance Intelligence (RPI) team, where our aim is to integrate data-driven insight into operations to drive highly bespoke and predictive customer service. Key Accountabilities & Responsibilities β€’ Combine data from multiple sources to generate new insights, identifying correlations of events and activities to inform future action plans at retailer and market levels. β€’ Access a pool of information based on the outputs of 1,700 retailers worldwide to set the standard for insight generation. β€’ Own the calculation of the retention metric and lead the objective toward an increasingly insightful way we measure how well we retain customers using transactional data. β€’ As the RPI Intelligence lead, you will have full ownership of the β€œIdeas Hopper” generated through feedback from global regions and markets. β€’ Work in close collaboration with TCS and the Systems and Data teams to ensure on-time delivery of agreed hopper items. β€’ Apply a methodical approach to ensure on-time delivery of stakeholder requirements and the advancement of data capabilities with retail transactional data. β€’ Monitor and report on trends, achievements, and intelligence best practices at the market level. Knowledge, Skills, and Experience Essential: β€’ Advanced knowledge of technologies, techniques, and practices to manage complex datasets and summarize key messages and recommendations. β€’ High proficiency in Tableau is mandatory, including an eye for "Tableau artistry" (use of color, contrast, layout, and interactivity). β€’ Previous experience and knowledge of various data management tools, specifically Google BigQuery or Enterprise Data Warehouses (EDW). β€’ Skilled communicator with the ability to bridge the gap between technical and business communities to ensure a common understanding. β€’ Experience working with customers to understand problem statements and translating them into clear requirements for delivery teams. β€’ Proven experience in managing project delivery against strict deadlines. Desirable: β€’ Working understanding of SQL, Anaplan, and JIRA. β€’ Background in Agile delivery with the ability to develop customer-centric user stories aligned to product features. β€’ Sound understanding of retailer processes acquired through Automotive or Luxury retail experience. β€’ Understanding of predictive profiling. Key Performance Indicators (KPIs) β€’ Identification of data-driven insights to drive Revenue and Customer Satisfaction. β€’ Quarterly development of opportunities via the Intelligence tools/funnel. β€’ Development of a roadmap to achieve insight generation based on transactional data. β€’ P&A revenue and customer satisfaction improvement for identified underperforming retailers.