회사 개요
우리는 전 세계가 사랑하는 식품을 만들기 위해 존재합니다. 하지만 우리는 그 이상을 합니다. 우리 회사는 선한 영향력을 발휘하는 것을 최우선으로 하는 곳이며, 매일매일 배움을 확장하고 새로운 시각을 탐구하며 새로운 가능성을 재창조하는 공간입니다. 우리는 서로에게 도전하고 성장할 수 있는 대담한 사고를 가진 인재, 즉 최선을 다할 수 있는 인재를 찾습니다. 식품 분야의 확고한 리더가 되기 위해, 우리는 끊임없이 다음을 향해 도전하는 사람들과 함께합니다.
OVERVIEW
The 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 ACCOUNTABILITIES
- Partner with business SMEs, Digital & Technology peers, and Solution Managers to understand data needs and align Data Foundations with enterprise Data and Analytics strategy
- Build strong understanding of Data and Analytics Cloud technology and connect current Data Foundation capabilities with future-state solutions
- Gather and analyze business requirements, translating them into clear technical specifications, delivery plans, and actionable data solutions
- Communicate timelines, priorities, and progress with stakeholders to ensure alignment, transparency, and timely delivery
- Serve as a lead analyst and technical SME, providing coaching, mentorship, and oversight to analysts within the Data Foundations team
- Partner with data engineers, analytic engineers, and architects to design, build, maintain, and optimize scalable, high-quality data pipelines on GCP
- Define and promote best practices in data analysis, data modeling, documentation, governance, metadata, and lineage standards
- Use observability and monitoring tools such as Monte Carlo and Collibra to improve data reliability, trust, and quality
- Drive innovation through automation, AI enablement, knowledge-sharing, and capability-building initiatives that strengthen analytical maturity
- Support sustainability and compliance goals by building and maintaining data models and pipelines for reporting, regulatory needs, and real-time analytics
MINIMUM QUALIFICATIONS
- Bachelor's or master's degree in Computer Science, Information Systems, Software Engineering, or a related quantitative field
- 10+ years of overall IT or IT-enabled services experience, including 7+ years in data analytics or data analysis roles
- Strong SQL skills with hands-on experience in ETL processes, data modeling, data pipelines, and data transformation tools
- Strong analytical ability to translate complex data into actionable insights that support business decisions
- Good business understanding with the ability to connect data work to business needs and outcomes
- Excellent verbal and written communication skills, with the ability to simplify complex ideas and collaborate across global, cross-functional teams
- Strong understanding of agile methodologies and collaborative delivery practices
- Positive, proactive, and self-driven mindset with strong ownership and commitment to team success
PREFERRED QUALIFICATIONS
- FMCG 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.
자격 요건 지원자는 해당 직무가 위치한 국가의 최소 연령 요건을 충족해야 합니다.
새로운 가능성. 대담한 사고. 진실된 마음. 탁월한 사람들과 함께 탁월한 브랜드를 만듭니다.
General Mills는 전 세계가 사랑하는 식품을 만듭니다. 100여 개 시장에 걸쳐서 우리는 힘을 합쳐 새로운 제품을 개발하고, 혁신을 주도하며, 함께 성장해 나갑니다.
이곳에서 여러분은 선의를 추구하는 기업에서 의미 있는 일을 하며 식품 산업의 미래를 이끌어 나갈 수 있습니다.