Analytics Engineering Manager

Company: Boots UK
Apply for the Analytics Engineering Manager
Location: Nottingham
Job Description:

At Boots, we’re on the lookout for an Analytics Engineering Manager to join our dynamic Technology team in Nottingham, Beeston. This is your chance to make a real impact in a company that values innovation and collaboration.

As Analytics Engineering Manager within the Data and Business Intelligence team, you will be accountable for the automation and data modelling that underpins Boots’ Enterprise Business Intelligence reports, supporting the businesses in achieving their strategic goals. You will also work with our architecture team to shape the future roadmap of Power BI across The Boots Group, ensuring alignment with our technology and data strategies.

Responsibilities

  • Support the development and delivery of complex, performant semantic models that underpin our company‑wide business intelligence reporting
  • Set the strategic direction for the BI Analytics Engineering team, continuously improving delivery and staying current with industry innovations
  • Drive a culture where information proactively contributes to business development
  • Promote and champion new approaches and innovative techniques that establish a best‑in‑class Analytics Engineering team
  • Collaborate closely with BI Delivery, Business Partnering, Agile Release Train and other teams to influence the BI roadmap and deliver new reports accurately and on time
  • Manage our legacy on‑premise reporting system and lead the transition to a fully cloud‑based stack
  • Identify resource requirements and, where needed, recruit, manage and develop individuals
  • Establish and enforce best practices for version control (Git), documentation, data testing and deployment automation (CI/CD) across the data stack

Qualifications

  • Advanced proficiency in Power BI, with hands‑on experience in semantic modelling and DAX
  • Deep understanding of Kimball data modelling concepts such as star schemas
  • Advanced SQL skills and proficiency in Python or PySpark for data manipulation is highly preferred, ideally within a Databricks environment
  • Senior stakeholder management experience, with a proven ability to explain technical activities to non‑technical colleagues
  • Solutions‑focused mindset that thrives in a fast‑paced and evolving environment
  • Passionate and organised leader with excellent data literacy, analytical and problem‑solving skills
  • Ability to work in ambiguous situations and manage complex, competing demands across multiple senior stakeholders
  • Critical thinker with outstanding influencing skills to promote ideas and move others toward a common vision or goal
  • Capacity to work in an omni‑channel environment, seeing the bigger picture and making fast, right decisions
  • Understanding of data security and governance

Additional Desired Skills

  • Understanding of the retail environment
  • Experience working in an outsourced environment, managing work across geographies
  • Experience with Excel VBA
  • Experience with Agile and Scrum frameworks

Benefits

  • Boots Retirement Savings Plan (up to 6% company contribution)
  • Generous employee discounts for you and a family member
  • Enhanced maternity/paternity/adoption leave pay
  • Access to free, 24/7 counselling and support through TELUS Health, our Employee Assistance Programme

At Boots, we are an equal opportunity employer, creating a place where everyone feels welcome, supported, and free to be themselves. We believe that when our people feel valued and included, they thrive.

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Posted: July 7th, 2026