Data Analyst Apprentice
Role Overview
Apprentice supporting Grosvenor’s understanding of customer sentiment, behaviour and use of digital services.
Work spans data collection and management, analysis, dashboards, actionable insights and stakeholder recommendations.
The role includes completing a Level 4 Data Analyst apprenticeship.
Key Skills for This Role
Full Job Posting
Role overview
Apprentice supporting Grosvenor’s understanding of customer sentiment, behaviour and use of digital services.
Work spans data collection and management, analysis, dashboards, actionable insights and stakeholder recommendations.
The role includes completing a Level 4 Data Analyst apprenticeship.
Customer and community insight
- Support design, delivery and analysis of annual customer surveys and regular sentiment research.
- Work with Operations, London Estate and Sustainability teams to turn findings into insights and recommendations.
- Gain experience with survey design, data management, SQL, semantic modelling, Microsoft Fabric and Power BI.
Data platforms and digital experience
- Help develop and manage tools for understanding digital customers, create dashboards and support Google Analytics integrations.
- Help colleagues use the platform, contribute to monthly and thematic reporting, and identify platform improvements.
- Analyse digital customer behaviour with product and user experience colleagues to inform customer-facing products.
Day-to-day work
- Clean, manage and analyse large datasets; check data quality and identify inconsistencies.
- Support customer survey design and delivery, and create or improve dashboards.
- Contribute to London Estate and Operations reporting and present findings to internal stakeholders.
- Collaborate across Operations, Sustainability, Group Technology and Digital Solutions.
- Document data sources, definitions and analytical processes.
Skills and entry requirements
- Proactive, curious, self-motivated and willing to learn; able to work iteratively and collaboratively.
- Strong attention to detail, commitment to data accuracy, and written and verbal communication skills.
- Able to turn analytical findings into clear, accessible presentations.
- Prior use of all listed tools is not required; curiosity, analytical thinking and interest in data-informed decisions are sought.
- Level 3 qualification such as apprenticeship, A-levels or BTEC, or equivalent relevant work experience, typically two years.
- Five GCSEs including English and Maths at Grade 4 (C) or above; Excel experience, particularly pivot tables and XLOOKUP, and Microsoft products or similar.
Working hours
- 35 hours per week, Monday to Friday, 9:30am to 5:30pm.
Benefits and prospects
- Benefits include pension and life assurance, annual leave, private medical insurance, subsidised lunch, dental insurance and healthcare cash plan.
- Other listed benefits include season ticket loan, cycle-to-work scheme, flexible working, volunteer days and various wellbeing and financial support schemes.
- The posting states that 90% of QA apprentices secure permanent employment after completing their apprenticeship.
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