Analytics Engineering Manager Job at Boots (Nottingham)

Job Description

Role: Analytics Engineering Manager Contract: Permanent Location: Nottingham, Beeston Recruitment Partner: Kershia Broughton Are you ready to take your career to the next level? 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 an 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 its strategic goals. They also play a key role, along with our architecture team in shaping the future roadmap of Power BI within The Boots Group, making sure our usage of Power BI is aligned closely with our technology and data strategies and keeps us ahead or our peers. As part of the Data & BI extended leadership team they will play a key role designing and managing our ways of working, understand your teams acceptance into and handoff delivery requirements.

Job Responsibility

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, whilst continuously improving delivery and keeping up to date with industry innovations and changes in your specialism
Drive a culture where information proactively contributes to the development of the business
Promote and champion new approaches and innovative techniques that promotes a best-in-class Analytics Engineering team
Working closely with our 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

Requirements

Advanced proficiency in Power BI, with hands-on experience in semantic modelling and DAX
Deep understanding of Kimball data modelling concepts like star schemas
Advanced SQL skills and proficiency in Python or PySpark for data manipulation is highly preferred, ideally within a Databricks environment
An experienced senior stakeholder manager with proven ability to explain technical activities to non-technical colleagues
A solutions-focused mindset that thrives in a fast-faces and evolving environment
Passionate and organised leader with excellent data literacy, strong analytical and problem-solving skills
Can work in the grey and manage complex, competing demands and multiple senior stakeholders
A critical thinker with outstanding influencing skills to promote your ideas and move others toward a common vision or goal
Can work in an omni-channel environment with the ability to see the bigger picture, get to the heart of the problem and to drive the right decisions at pace
Understanding of data security and governance

Nice to have

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

What we offer

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

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Analytics Engineering Manager

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