About the role:

Data is at the heart of every decision we make at Redcare Pharmacy. As a Senior Data Analyst, you'll play a key role in helping our product and business teams unlock the full value of data while supporting one of our largest transformation programmes—our migration from an on-premise data platform to a modern cloud-based analytics ecosystem.

Working within our Data Analytics organisation, you'll partner closely with Product Managers, business stakeholders and technical teams to transform complex business challenges into scalable data solutions. Whether you join our Global Sales or Operations domain, you'll take ownership of end-to-end analytics initiatives, influence technical direction, and help shape the future of self-service analytics across the business.

Beyond building data products, you'll act as a technical leader within the team—sharing your expertise, mentoring colleagues, and driving best practices in data modelling, reporting and AI-enabled analytics.

Job Description

About the tech stack:

Databricks

• DBT
• SQL
• Power BI
• Microsoft Fabric
• Azure Cloud
• Python (nice to have)
• AI-assisted development
• Tabular Models
• Power BI Service
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About your tasks:

• Lead the design and development of scalable data models using DBT, SQL and Databricks, enabling reliable, high-quality analytics across multiple business domains.
• Partner closely with Product Managers and business stakeholders to translate complex business requirements into robust technical solutions, driving backlog prioritisation and delivering measurable business value.
• Develop impactful Power BI dashboards and semantic models, creating intuitive reporting solutions that support data-driven decision-making across the organisation.
• Contribute to Redcare's cloud migration programme, helping modernise our analytics platform while improving the performance, scalability and efficiency of existing data products.
• Champion best practices in analytics and AI, mentoring colleagues, supporting business users through training sessions, and helping evolve innovative solutions such as our internal AI-powered "Talk to Data" capability.
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Qualifications

About you:

• 5+ years of experience as a Data Analyst, Analytics Engineer, or in a similar role, with strong expertise in SQL, DBT, Databricks, and Power BI within enterprise environments.
• A Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Engineering, Information Systems, or another related quantitative field.
• You confidently engage with technical and non-technical stakeholders, translating complex business challenges into scalable data solutions and communicating technical concepts in a clear and accessible way.
• As a Senior Data Analyst, you enjoy coaching and mentoring junior colleagues, sharing best practices, and helping to upskill the wider team while driving technical excellence. Experience with Microsoft Fabric, Azure, Python, A/B testing, or cloud migration projects is a strong advantage.