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An innovative company seeks a passionate leader in Data and Analytics to drive transformative solutions within the Pet Nutrition sector. This role emphasizes strategic vision and technical expertise, focusing on developing robust data pipelines and fostering a high-performance culture. As part of a global team, you will collaborate with engineering experts to establish best practices and elevate operational efficiency through DataOps principles. If you are ready to make a significant impact in a vibrant FMCG environment, this opportunity is designed for you.
Are you passionate about Data and Analytics (D&A) and excited about how it can transform enterprise operations? Do you possess strategic vision, technical expertise, and leadership skills to drive data-driven solutions? If so, you might be the ideal candidate for the Data and Analytics role within Mars's Global Pet Nutrition (PN) team.
Pet Nutrition (PN) is a vibrant sector within FMCG. As part of our Digital First program, we focus on placing pet parents at the center of our initiatives, digitalizing business processes, and building capabilities to achieve growth, profitability, and customer centricity. This role requires demonstrating thought leadership, technical proficiency, and the ability to navigate complex challenges while leading a team of top-tier data and analytics professionals.
The role involves transitioning to a product-based model to develop digital capabilities. Responsibilities include developing and maintaining robust data pipelines and storage solutions to support analytics and machine learning initiatives. You will report to the Director of Data Engineering Solutions and collaborate globally with engineering teams across core products.
Mars is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. Accommodations are available upon request during the application process.