COMPANY OVERVIEWWe exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.​ OVERVIEWThe Senior Data Analyst –Data Foundations will play a pivotal role in shaping and advancing our data ecosystem. This role requires a blend of technical expertise, analytical curiosity, and business partnership, working closely with leaders, Digital & Technology peers, and global stakeholders to deliver scalable, high-quality data solutions.You will serve as a technical data subject matter expert, guiding data best practices, mentoring analysts, and ensuring that our data products are governed, reliable, and impactful. This role is ideal for someone who thrives at the intersection of business insight, data engineering, and analytics—and who is eager to contribute to General Mills’ digital transformation journey.KEY ACCOUNTABILITIESPartner with business SMEs, Digital & Technology peers, and Solution Managers to understand data needs and align Data Foundations with enterprise Data and Analytics strategyBuild strong understanding of Data and Analytics Cloud technology and connect current Data Foundation capabilities with future-state solutionsGather and analyze business requirements, translating them into clear technical specifications, delivery plans, and actionable data solutionsCommunicate timelines, priorities, and progress with stakeholders to ensure alignment, transparency, and timely deliveryServe as a lead analyst and technical SME, providing coaching, mentorship, and oversight to analysts within the Data Foundations teamPartner with data engineers, analytic engineers, and architects to design, build, maintain, and optimize scalable, high-quality data pipelines on GCPDefine and promote best practices in data analysis, data modeling, documentation, governance, metadata, and lineage standardsUse observability and monitoring tools such as Monte Carlo and Collibra to improve data reliability, trust, and qualityDrive innovation through automation, AI enablement, knowledge-sharing, and capability-building initiatives that strengthen analytical maturitySupport sustainability and compliance goals by building and maintaining data models and pipelines for reporting, regulatory needs, and real-time analyticsMINIMUM QUALIFICATIONSBachelor’s or master’s degree in Computer Science, Information Systems, Software Engineering, or a related quantitative field10+ years of overall IT or IT-enabled services experience, including 7+ years in data analytics or data analysis rolesStrong SQL skills with hands-on experience in ETL processes, data modeling, data pipelines, and data transformation toolsStrong analytical ability to translate complex data into actionable insights that support business decisionsGood business understanding with the ability to connect data work to business needs and outcomesExcellent verbal and written communication skills, with the ability to simplify complex ideas and collaborate across global, cross-functional teamsStrong understanding of agile methodologies and collaborative delivery practicesPositive, proactive, and self-driven mindset with strong ownership and commitment to team successPREFERRED QUALIFICATIONSFMCG exposure: Broad understanding of commercial marketing, planning, sourcing, manufacturing, logistics, and sustainability, and how data enables insights across these domains.Agile and product delivery: Experience delivering solutions in an agile or Scrum environment, with a focus on iterative development, stakeholder feedback, and continuous improvement.Leadership and mentoring: Ability to coach and mentor junior analysts, facilitate peer reviews, and promote knowledge sharing across global teams.Stakeholder management: Strong relationship management and collaboration skills, with proven success working with business and technical leaders across regions.Analytical innovation: Interest in exploring AI, GenAI, or automation to enhance data quality, analyst productivity, and insight generation.Academic and professional excellence: Strong academic background and continuous-learning mindset, demonstrated through certifications, courses, or hands-on learning in emerging data technologies. ELIGIBILITYApplicants must meet minimum age qualifications in the country in which the job is located.