Commercial Business Analyst - Waterbury, VT

The Company:

Founded in 1978, Cabot Hosiery Mills is an American manufacturer of premium socks with uncompromised comfort, durability, and fit.

With a family of brands including Darn Tough Vermont, Wide Open, and Cabot & Sons, our mission is to make the world’s best socks, in Vermont, USA, and back them with our Unconditional Lifetime Guarantee. We are family owned, three generations strong, and have yet to produce our best sock.

Job Summary:

As we continue to scale one of the fastest growing apparel brands, we are seeking a Commercial Business Analyst to turn full-funnel data into clear, actionable insight that drives profitable growth across global retail and ecommerce channels.

This role sits at the intersection of Marketing, Sales, Product, and Finance—building trusted reporting on campaign performance, sell-through, channel profitability, and product trends through dashboards, scorecards, KPIs; diagnosing performance drivers; and translating results into recommendations for optimization and growth.

This role serves as part of a cross-functional Analytics Center of Excellence (ACOE) team, led by IT Data Analytics, sharing tools, standards, and infrastructure.

The Commercial Team Analyst helps improve marketing ROI and targeting, strengthen sales execution and profitability through pricing/promo/channel insights, and sharpen product decisions using consumer and market trends—answering: “What are the results of the things we’re doing?” and “What impact did that have?”

The starting salary for this role is $100,000-$110,000 per year, based on experience. 

Key Responsibilities:


* Reporting, Measurement & Performance Analytics: Own weekly and monthly reporting (Power BI and Excel) across revenue, volume, mix, margin, and marketing KPIs by channel, region, category, and customer.

Partner with ACOE to establish consistent definitions, methodologies, and resources, supporting a single source of truth for commercial storytelling and decision-making.

Leverage various statistical modeling methodologies to quantify the impact of spend, campaigns, programs, and promotions versus plan, prior year, and forecast; build frameworks for promotional effectiveness, incrementality, ROI, and demand elasticity to inform investment and optimization.


* Sales & Commercial Analytics: Analyze POS/syndicated data (e.g., Circana) and internal sales to uncover trends, demand shifts, and retailer performance across channels and regions.

Provide insights on pricing, product mix, promotions, trade terms, discounting, and commissions to optimize margin and volume.

Evaluate new market opportunities and model the financial impact of commercial levers to support Finance and Sales.


* Planning & Forecasting Enablement: Partner with Sales, Marketing, Finance, and Operations to inform planning and forecasting cycles with insights linking marketing activity, demand trends, and revenue projections.

Build models that connect marketing drivers, s...