
Analytics Manager
SMG
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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Salary
💰 £53,000 per year
About the role
- Leading, managing and developing a team of Data Scientists, setting priorities and raising the bar on delivery quality
- Driving new applications of Boots’ Advantage Card first-party data through advanced measurement solutions (e.g. predictive analytics, causal modelling, optimisation)
- Owning and communicating roadmaps, learning agendas, and innovation plans with senior stakeholders at Boots and BMG, showing how advanced analytics unlocks growth and competitive advantage
- Overseeing advanced analytics and insight delivery across projects such as campaign effectiveness, omnichannel measurement, and customer-level analysis
- Acting as a senior analytics partner to clients, leading conversations on objectives, measurement challenges, and insight opportunities
- Identifying and building deeper metrics and measurement solutions for existing and emerging channels to create strategic client value
Requirements
- Strong experience in marketing effectiveness and advanced analytics (e.g. forecasting, regression, segmentation, machine learning)
- Confidence working with customer-level, first-party data at scale
- The ability to translate complex analysis into clear, compelling stories for non-technical audiences and build trusted-advisor relationships with senior stakeholders
- A forward-thinking, curious mindset with a drive to innovate and improve measurement approaches
- Excellent organisation skills, able to juggle multiple complex projects and stakeholder groups
- Proven people leadership, motivating, developing, and growing high-performing data science teams
- Understanding of data pipelines/data warehouse environments to partner effectively with data engineering/platform teams
- Familiarity with digital measurement tools (e.g. Google Analytics, Criteo)
Benefits
- 10% discretionary bonus
- £1,800 yearly wellbeing fund (on top of your salary!)
- Free Headspace subscription
- £500 yearly “Learning Fund” for learning
- 4 extra Wellbeing Days off per year
- 4pm finishes every Friday
- Flexible and hybrid working
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
predictive analyticscausal modellingoptimisationforecastingregressionsegmentationmachine learningdata pipelinesdata warehouse
Soft Skills
leadershipcommunicationorganisationrelationship buildinginnovationcuriosityproject management