Job Description

About our group:

Global Revenue Operations is a key function within the GTM organization, responsible for managing the revenue and demand planning process across a five-quarter horizon, near-term execution, supply allocation, and finished goods inventory optimization.

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 position

Your 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.