Manager

Boots
UK
1 year ago
Applications closed

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Closing date: 20th October 2024 Recruitment Partner: Matt Haywood - matt.haywoodboots.co.uk About the Role The role is a blend of analytics & data science with a focus on translating and interpreting results into commercial benefits across Boots, with particular emphasis on any emerging datasets and analytical thinking that will benefit Boots Opticians. In addition to sourcing and processing data, uncovering analytical opportunities and developing models, you’ll be involved in evaluating commercial trials and supporting with the development of our reporting capabilities in a varied, hands-on role. Sitting within the Data Science & Analytics team (part of the Boots Data Office, and the wider International Technology & Advanced Analytics function), you’ll have access to large datasets and analytical tools which you’ll be using to inform and direct conversations on range optimisation and productivity, strategic planning and geospatial sciences. You’ll need an inquisitive mind and technical capability to capture data, create valuable insights and communicate the results with stakeholders. We want you to show us what you are capable of, and you will be both supported and challenged as you deliver innovative solutions and business recommendations. What you’ll need to have: Analytical or Data Science experience, or a relevant degree with quantitative elements (such as Maths, Physics, Geography, Computer Science, Psychology) Comfortable working both independently and collaboratively in a team Aptitude for logical thinking and problem solving Proficiency in using SQL, Python or R Ability to present results to less technical audiences Strong attention to detail with the drive to investigate and fix potential errors Experience with implementing and integrating new data sets Ability to organise and prioritise your own workload It would be great if you had: Experience with GIS software and techniques, or Alteryx Designer Experience with MI or data visualisation tools such as Power BI Demonstrable record of delivering results in a dynamic, commercial environment Ability to deal well with ambiguity, prioritising requirements and making recommendations Expertise in working with large structured and unstructured datasets Who we are International Technology & Advanced Analytics (IT2A) is a multi-national function of Walgreens Boots Alliance (WBA) based in the UK, Europe, Asia, South America and the USA. We use emerging technology and robust data to transform our pharmacy and retail offerings, improve experiences for customers and patients and enhance our operational effectiveness. Partnering with some of the finest tech providers and utilising a cutting-edge tech stack, we support two of the UK’s most trusted and established brands - Boots and No7. We’re a team of specialists spanning security, hosting, architecture, software engineering, networks, project delivery and more. A proud equal opportunity employer, we passionately embrace team member diversity and provide a positive and inclusive working environment for all. Our benefits Retirement Savings Plan Discretionary annual bonus Generous employee discounts Enhanced maternity/paternity/adoption leave pay and gift card for anyone expecting or adopting a child Flexible benefits scheme including holiday buying, discounted gym membership, life assurance, activity passes and more. Access to free, 24/7 counselling and support through TELUS Health, our Employee Assistance Programme. We have a great range of benefits in addition to the above that offer flexibility to suit you - find out more at boots.jobs/rewards . Please note, any salary estimates given on third-party sites are not provided or endorsed by WBA and may not be accurate. What's next Where a role is advertised as full-time, we are open to discussing part-time and job share options during the application process. If you require additional support as part of the application and interview process, we are happy to provide reasonable adjustments to help you to be at your best. This role requires the successful candidate to complete a Pre-employment check after receiving an offer. Depending on your location you will be asked to submit either a DBS (Disclosure & Barring Service), PVG (Protection of Vulnerable groups) or an Access NI Check. We are a Ban the Box employer and will consider the suitability of applicants with criminal convictions on a case-by-case basis. LI-Onsite Keywords Data, Analyst

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