About the role - you will:You are a highly analytical, data-driven Analyst responsible for owning Global Revenue Operations metrics and leading downstream inventory management analytics. You will manage excess and EOL inventory strategies, aged inventory projections, and demand-supply alignment. This role requires deep expertise in Excel-based modeling and analytics to transform complex datasets into actionable insights that guide executive decision-making.
Key Responsibilities:- Own and evolve Global Revenue Operations metrics, delivering data-driven insights for executive visibility.
- Build advanced Excel models to forecast inventory positions and optimize excess and EOL inventory strategies.
- Analyze large, complex datasets to identify risks and opportunities impacting revenue and inventory performance.
- Develop scalable reporting frameworks and KPIs to monitor inventory health and revenue outcomes.
- Partner cross-functionally with PLM, Supply Chain, and Route-to-Market teams on product transitions and demand shaping.
- Drive automation and process improvements through advanced Excel, analytics tools, and AI.
About you:- Strong analytical foundation with the ability to structure complex business problems into data-driven solutions.
- Exceptional attention to detail with high standards for data integrity and accuracy.
- Experience owning metrics end-to-end, from data sourcing to executive presentation.
- Able to work autonomously, manage ambiguity, and deliver insights under tight timelines.
**Please note: Visa sponsorship is not available with this positionYour experience includes:- Advanced Excel expertise including complex modeling, PivotTables, INDEX/MATCH, SUMIFS, and automation (Power Query preferred).
- Experience in analytics-heavy roles within Revenue Operations, Supply Chain, Finance, or Inventory Management.
- Proven ability to synthesize large datasets into actionable insights that drive business outcomes.
- Bachelor's degree in Economics, Finance, Mathematics, Business, or a related quantitative field or equivalent experience.
You might also have:
- Experience with BI tools such as SAP, Power BI, or BOBJ.
- Familiarity with inventory analytics, forecasting, and revenue planning models.
- Exposure to AI-enabled analytics tools.
- PMP or Agile certification.
Location:United States Remote; #LI-Remote United States; This is a fully remote opportunity.
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 $84,300 - $121,500. 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: Remote United States
Travel: Up to 25%
