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Senior Digital Business Translator - Procurement Team


Slough, WBK, GB

JOB CATEGORY:  Information Services


Mars Commercial (Procurement) manages a significant part of Mars’ P&L, ensuring that our organization continuously improves our cost base while driving improvements in quality and innovation.  This team is embarking on an ambitious and exciting journey to transform our analytics capabilities. This will involve building core foundations to push information to our Commercial associates while delivering fast results to our category teams by developing decision-making tools that solve complex problems.



What you’ll do



Creating a culture of data-driven decisions will be at the heart of everything you do. That means helping everyone in the business to ask better questions so we can find better answers. A successful Mars Business Translator needs to fully understand Mars and the work we do.   Armed with this knowledge and their relationship with the Mars Decision Science/AI team, they’ll unearth key insights and implement those insights to drive Mars’ P&L.


In this role you’ll partner with Product Owners to solve problems that real users face using advanced digital techniques. That also means closely collaborating with users from our segments and markets around the world to find the right problems to solve. Building on that, you’ll use this direct user exposure to invent true ‘firsts’ - new and emerging approaches that Mars



What you’ll need



  • Minimum of 5 years of experience in a commercial insights role or equivalent is preferred, ideally in CPG, Telecom or Financial Services
  • Prior experience within a Procurement environment is preferred; knowledge of SAP Procurement-related modules will be helpful
  • The ability to tell a story using data from primary, secondary and third-party data sources
  • Experience working in a matrix environment where creating collaboration and influence are required for generating results
  • Comfort and good intuition around the technical Data Science disciplines of Big Data Engineering and advanced data modeling techniques:  Regression, Customer life cycle value, A/B testing, etc.
  • Working knowledge of data visualization tools such as Tableau, Power BI, to deliver output to the broader business community to improve decision making and productivity
  • Bachelor’s degree in a related field, with an advanced degree preferred
  • Excellent written, oral, presentation, interpersonal and stakeholder management skills

Inspiring the whole Mars business to adopt data driven decision-making by developing advanced analytics methods using Machine Learning/AI is huge in your role.  How? By mining vast amounts of data from company databases for insights that will help solve business problems and ultimately make Mars more profitable.








This is an exciting time at Mars. We’re using digital, data and user insights to transform our business by finding answers to problems that we’ve often never asked ourselves before. From joining the dots to improve our data ecosystem, to streamlining the efficiency and automation of our supply chain and quality operations, we’re already seeing some brilliant results. In fact, we’ve built so much momentum that we’re now looking for industry leaders in Business Translation, Data Science and Data Engineering with different and complementary skills to influence how we operate and grow beyond anything we’ve achieved before. Join us, and discover a company set up to develop your capabilities and ambitions and a group of colleagues ready to support and inspire you. Working together, we’ll create a better world for our planet, our communities and our pets.


Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

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