Senior Data Analyst - Supply Chain Performance Management

We're looking for a highly analytical and results-driven Senior Data Analystto join ourSupply Chain Performance Management team. This high-visibility role involves close collaboration with senior leadership and cross-functional teams. You'll leverage advanced analytics, AI tools, and statistical modeling to generate actionable insights across procurement, inventory optimization, MRP data, and travel cost analytics. The ideal candidate combines strong data analytics expertise with hands-on supply chain experience and a passion for turning complex data into strategic business intelligence.

• Analyze large datasets related to procurement, travel expenses, MRP, and inventory to identify trends, anomalies, and opportunities for cost optimization.
• Develop and maintain interactive dashboards and visualizations using Tableau to support supply chain decision-making across the supply chain.
• Collaborate with cross-functional teams - including Procurement, Finance, Sales and Operations - to understand data needs and deliver actionable insights.
• Extract, transform, and analyze data from SAP, Alteryx, KNIME and other enterprise systems.
• Present findings and visualizations to audiences ranging from tactical teams to executive leadership.
• Support data governance efforts and ensure data quality and integrity across all analytics initiatives.

• Proficiency inTableaufor dashboard development and data visualization.
• Hands-on experience withSAPandAlteryx/KNIMEfor data extraction and transformation.
• Solid understanding of supply chain processes, including procurement, MRP, and inventory management.
• Strong communication and storytelling skills, with the ability to translate complex data into business insights.
• Bachelor's Degree in in Data Analytics, Supply Chain, Statistics, Computer Science, or a related field and 5+ years of experience preferably within a supply chain or operations environment, or Master's degree in same careers and 3+ years of experience, or PHD and 0+ years of experience or equivalent education and experience.

• Strong skills in SQL and at least one programming language (e.g. Python or R).
• Experience with machine learning tools or statistical modeling in a business context.
• Familiarity with cloud platforms (e.g., AWS, Azure) and data warehousing tools.

Longmont Location Highly Preffered. Open to a Hybrid work schedule.

Our Longmont product-design campus is nestled against the foothills with exceptional views of the Rocky Mountains. Here at work, you can grab breakfast and lunch in the on-site cafeteria or get an afternoon espresso, prepared by a professional barista. Our 1,500+ employees enjoy an active on-site experience from sporting activities (get in a few laps at lunch on our 1-mile walking path around campus, play ping-pong or volleyball, or stop in our 24- hour fitness center for a group or individual workout) to community service and many employee resource groups including Pride! Women's Leadership Network and a Young Professionals Network.

Seagate is able to offer virtual employment for this position in the following states: AL, AZ, CA, CO, CT, FL, GA, ID, IL, IN, KS, KY, MA, MD, MI, MN, MO, NC, NH, NJ, NM, NY, NV, OH, OK, OR, PA, SC, SD, TN, TX, UT, VA, WA, WI, WY.

The estimated base salary range for this position is $100,380.80- $140,788.00. The individual salary is based on work location and additional factors, including job-related skills, experience, and relevant education or training.

Seagate offers comprehensive benefits to its eligible employees, including, but not limited to, , eligibility to participate in discretionary bonus program, medical, dental, vision, and life insurance, short-and long-term disability, 401(k), employee stock purchase plan, health savings account, dependent care, and healthcare spending accounts. Seagate also offers paid time off, including 12 holidays, flexible time off provided pursuant to Seagate policy, a minimum of 48 hours of paid sick leave, and 16 weeks of paid parental leave. The benefits for this position are based on a full-time schedule for a full calendar year and may differ depending on work location.

Location: Longmont, United States, Remote United States

Travel: None