Supply Chain Analyst

About the role

The owns the development and maintenance of actuals versus forecast reporting across all key protein categories, ensuring variances, root causes, and emerging trends are clearly communicated to support proactive decision-making. This role owns the creation of data models and reporting frameworks designed to monitor the cost and quality of proteins throughout the end-to-end supply chain from farm to door. The position requires close partnership with finance and commercial teams to reconcile assumptions across forecasts, budgets, and actual performance, thereby aligning financial planning with commercial reality. The analyst is responsible for supporting yield and conversion reporting, including raw to sellable yield, trim loss, and waste, to improve transparency into cutter performance and operational efficiency. A core ownership area is tracking key product performance metrics such as repurchase rate, cannibalization, and seasonality, and delivering in-depth analysis that enables teams to understand SKU-level performance and underlying drivers. The role also owns the support for scenario analysis and "what-if" modeling for variables like demand changes, yield adjustments, and cost inflation to help the team assess risk and opportunity before issues materialize. Finally, this position owns the build and continuous improvement of dashboards that track core procurement metrics, including inventory weeks on hand, product weights, and unit cost, to enable fast, confident decision-making at scale.

Key facts

What you'll do

Analyze actuals versus forecast across protein categories to highlight variances, root causes, and trends that inform proactive decisions.

Develop and maintain data models and reporting focused on monitoring protein cost and quality across the supply chain.

Partner with finance and commercial teams to reconcile assumptions in forecasts, budgets, and actual performance.

Support end-to-end visibility by tracking yield and conversion metrics such as raw to sellable yield, trim loss, and waste.

Track product performance metrics including repurchase rate, cannibalization, and seasonality with in-depth analysis at the SKU level.

Perform scenario analysis and "what-if" modeling for demand shifts, yield adjustments, and cost inflation to assess risk and opportunity.

Build and iteratively improve dashboards that monitor core procurement metrics like inventory weeks on hand, product weights, and unit cost.

Collaborate with vendors and internal stakeholders to improve data quality, standardize definitions, and close insight gaps.

Translate complex analytical findings into clear narratives and actionable recommendations for non-technical stakeholders.

Contribute to cross-functional projects that enhance forecasting accuracy, procurement efficiency, and long-term strategic planning.

Ensure reporting cadence and data integrity through rigorous validation, documentation, and continuous process refinement.

Leverage SQL and visualization tools to streamline data extraction, transformation, and insight delivery.

Support ad-hoc analyses that address urgent business questions and inform time-sensitive decisions.

Promote data-driven decision-making by making insights accessible, transparent, and actionable for leadership and operations teams.

Champion experimentation and testing to evaluate the impact of supply chain initiatives and refine future approaches.

Requirements

Demonstrated experience using SQL to query databases and extract, transform, and prepare data for analysis.

Proficiency with a visualization tool such as Tableau, Looker, or Power BI to build and maintain dashboards and reports.

Strong analytical skills with the ability to synthesize complex data sets into clear, concise, and actionable insights.

Excellent written and verbal communication skills to effectively present findings to both technical and non-technical audiences.

Experience working with cross-functional stakeholders in a fast-paced environment to drive alignment and execution.

Strong attention to detail and a high level of ownership for data quality, accuracy and reliability of insights delivered.

Bachelor's degree in Analytics, Economics, Finance, Operations, or a related quantitative field.

Willingness to relocate to Watertown, MA and ability to work onsite during standard business hours.

Ability to manage multiple priorities and meet deadlines in a dynamic, deadline-driven environment.

Commitment to working in a mission-driven, fast-growth environment aligned with high standards of integrity and impact.

Nice to have

Previous experience in the meat, seafood, or grocery retail industries.

Understanding of supply chain concepts such as inventory weeks on hand, stockouts, and service levels.

Familiarity with cost-to-serve and margin analysis in a perishable goods environment.

Experience with statistical analysis, forecasting, or data modeling in a regulated or high-volume environment.

Practical notes

This role is based in Watertown, Massachusetts and requires relocation to the area.

Standard business hours apply with flexibility to support critical business needs.

Candidates must be authorized to work in the United States without sponsorship for this role.