We are currently recruiting a Lead Shrinkage Analytics Manager to undertake sophisticated analytical work to deliver insight and enable improvements in Tesco’s shrinkage performance. Complete investigations into shrinkage trends to engage teams across the business on their unknown loss, utilising analytical skills to ensure that the department uses a data led approach to face the key challenges in present and future shrinkage performance Use understanding of data and statistical analysis to craft hypotheses and test findings, using effective interpersonal skills to deliver insight in a clear and engaging manner Effectively using data to find opportunities for shrinkage reduction, developing action plans and leading on solutions to deliver benefit Being the subject matter expert in natural work teams to advise on changes which may impact shrink while providing knowledge, insight and refining solutions to issues that arise. Build strong partner relationships in other teams and describing the team's insights and plans to a variety of audiences with emotional intelligence and conviction Support Project Managers in Business Support and other functions to deliver change work projects, valuing the potential opportunity and any associated risks and benefits Develop and maintain non-financial reports for the wider shrinkage and security team, highlighting process issues, compliance and opportunities on how to reduce shrinkage Support with highly analytical tasks within wider shrinkage and security departments where the relevant expertise is not present Use your expertise to build the technical capability of other analysts in the shrinkage team and help craft their work to make it more relevant and engaging Use a suite of insight reports provided by the Tesco Business Services (TBS) reporting and analytics centre of expertise to give senior leadership transparency of how the business is performing and proactively identify areas which require improvement Follow our business code of conduct and always acting with integrity/due diligence Numerate degree /A-level maths or equivalent Statistical analysis and research methods Experience of using data warehousing tools to extract/manage data SQL highly desirable Solid grasp of Excel (knowledge of VBA desirable). Knowledge of Matlab, R, Python useful but not required Good ability to root cause analysis sophisticated problems & provide outcomes/recommendations LI-HS1 LI-Hybrid