As a Senior Analyst on the Gross Margin team, you will be a key contributor to the accuracy and strategic visibility of the company’s profitability. This role is designed for a finance professional who excels at the intersection of traditional commercial finance and modern data automation within a complex manufacturing environment.
You will support the end-to-end Cost of Goods Sold (COGS) forecast and help coordinate the critical inputs that drive our financial outlook. A primary focus of this role is contributing to the team’s digital transformation—assisting in the migration of legacy manual workflows toward an AI-enabled, automated, and scalable forecasting environment.
Why This Role Matters
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Own the Gross Margin Lens on Performance: Help build and maintain the end‑to‑end COGS and gross margin forecast so leaders understand how product, volume, and cost decisions translate into profitability and our path‑to‑scale.
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Connect Operations to Financial Outcomes: Translate complex operational drivers—material, labor, logistics, and manufacturing dynamics—into clear financial insights that guide pricing, mix, and product strategy decisions.
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Advance AI-Enabled Finance Transformation: Move high‑impact forecasting and reporting workflows from offline spreadsheets into automated, cloud‑based data environments, leveraging AI to reduce manual effort and improve forecast accuracy.
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Strengthen Financial Rigor and Accountability: Partner with Product Development, Accounting, and FP&A to explain variances, sharpen forecast quality, and reinforce a data‑driven culture across the organization.
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Unlock Better Scenario Planning: Use structured models and robust data pipelines to run strategic “what‑if” scenarios that help Finance and business leaders evaluate tradeoffs and make faster, higher‑confidence decisions.
Financial Analysis & Partnership
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Forecast Execution: Support the maintenance and delivery of the gross margin and COGS forecast, ensuring data integrity and alignment with corporate targets.
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Cross-Functional Coordination: Collaborate with partners across Product Development, Product Strategy, and Operations Finance to gather, validate, and track the progress of key forecast assumptions.
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Performance Analysis: Partner with Accounting and FP&A during quarter-end close to identify and explain variances between actual results and the forecast.
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Strategic Scenarios: Leverage the forecast to run financial scenarios that help the team provide data-driven recommendations for strategic decision-making.
Automation & Process Improvement
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Digital Enablement: Actively contribute to the transition of financial models from Excel into automated, cloud-based data environments.
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Data Integrity: Help build and manage the data flows required to ingest complex datasets, ensuring the forecast is supported by reliable, automated sources.
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Workflow Optimization: Identify and implement process improvements that streamline reporting cycles and improve the speed and transparency of the gross margin process.
Required Experience
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Education: Bachelor’s degree in Finance, Accounting, Economics, or a related quantitative field.
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Experience: 3-4 years of experience in Corporate Finance or FP&A, ideally within a manufacturing, hardware, or technology environment.
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Technical Skills: Demonstrated expertise in building AI-enabled financial applications and automated workflows using Python, SQL, or similar data science frameworks.
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Systems: Experience with Databricks, Snowflake, or similar cloud-based data environments is required.
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Modeling: Advanced financial modeling skills, with the ability to translate physical operational drivers into clear financial outcomes.
Core Competencies
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Attention to Detail: An uncompromising commitment to accuracy; you ensure the integrity of the data before it reaches the final output.
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Communication: Ability to distill complex data and technical workflows into clear, concise updates for stakeholders.
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Problem-Solving: A proactive approach to troubleshooting data discrepancies and refining manual processes.
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Collaborative Spirit: Proven ability to work cross-functionally and build effective relationships with non-finance business partners.