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Global I&A Manager, Commercial Analytics


Global I&A Manager, Commercial Analytics

Slough, Berkshire (Hybrid) 

Competitive Salary & excellent benefits package


Based in Reckitt’s CHQ, this is an exciting opportunity to join Reckitt’s Global Insights and Analytics Centre of Excellence. You will be part of a team tasked with building, developing and delivering our global insights and reporting capability with the focus on understanding our consumer, through data. The role will deliver a variety of data analytics projects from start to finish, ranging from answering specific business questions via data, through to ground breaking global data science projects that revolutionise the way the business currently operates.

What you will be doing:

  • Contribute to the establishment of consistent, best-in-class Analytics and Data & Information Management capability,
  • Support the go-forward data strategy which will enable Advance Analytics & Machine Learning capabilities
  • Develop effective working relationships with Reckitt stakeholders to scope and define their analytics needs and create efficient analytical solutions
  • Work closely with business sponsors to identify and articulate business questions, supported by introducing data science methodology
  • Help plan, develop and deliver the data strategy and roadmap for D&A CofE team 
  • Show an understanding of the role data visualisation and story-telling play in ensuring insights derived from the projects are communicated with impact 
  • The ability to understand and articulate data engineering, management and analytics needs to ensure delivery of specific business questions/hypothesis
  • Understand how different data sets play a role in designing the appropriate solutions 
  • Being ‘Point’ for all stakeholders for updates to the project
  • Ensure all insights and reports are rooted in showing business performance

What we are looking for:

  • Experience working in relevant environment/s, i.e. Analytics/ Demand Spaces / Management Information (MI) reporting in a global organisation
  • Data analytics – such as statistical model selection, supervised/un-supervised/deep machine learning, network analysis, and natural language processing (NLP) Strong programming ability (R, Python or other data analysis relevant languages)
  • Data/Systems engineering – such as the design of algorithms, implementation of big data solutions, SQL and noSQL database systems, statistical analysis languages and tooling
  • Understanding of and experience with 1st, 2nd & 3rd party data, retail measurement and marketing data
  • Experience of working in a regulated environment


All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law. 

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