Business Insights Analyst
Listed on 2026-10-17
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Business
Data Analyst, Business Intelligence
Trilliant Food & Nutrition is a leading manufacturer of premium coffees and powdered beverages, proudly headquartered in Little Chute, Wisconsin. With a legacy rooted in quality, innovation, and service, Trilliant delivers branded and private label solutions across retail, food service, and e-commerce channels.
Horseshoe Beverage Company, based in Neenah, WI, is a leading ready-to-drink beverage manufacturer dedicated to delivering an exceptional beverage experience. By combining industry-leading talent and cutting‑edge equipment, we drive innovation and consistently deliver the highest quality products to our customers—first and fast.
Our brand portfolio includes Victor Allen’s®, Dutch Bros® beverages and Nurri™, our better‑for‑you protein beverage line. We are passionate about beverages – and about building a team that’s just as energized. We invite you to explore opportunities at Trilliant or Horseshoe, to see if your talents and career aspirations may fit with our openings.
Position Overview:The Business Insights Analyst will develop the analytical facts required to improve commercial decision‑making across Trilliant's brands, customers, and channels.
The role will integrate retailer, syndicated, shipment, promotional, financial, and other available data to measure performance, diagnose drivers, identify opportunities, and generate actionable insights.
The Analyst will partner closely with Revenue Growth Management (RGM), Data Science & Analytics, Sales, Finance, Category Management, Marketing, and Business Units.
Success is defined by the Analyst's ability to move beyond reporting what happened to explain why it happened and what the data suggests should be investigated or considered next.
Responsibilities:Business Performance Analytics
- Analyze revenue, volume, distribution, velocity, pricing, promotion, assortment, and mix across brands, customers, SKUs, channels, and markets.
- Identify trends, anomalies, opportunities, and performance gaps.
- Conduct root‑cause analysis to distinguish between distribution, velocity, pricing, promotion, mix, seasonality, and other performance drivers.
- Develop recurring scorecards and reporting that focuses attention on material business opportunities and risks.
- Proactively identify insights rather than relying solely on incoming analytical requests.
- Measure baseline performance, promotional lift, incremental volume, cannibalization, post‑promotion effects, ROI, and profitability.
- Evaluate performance by customer, SKU, promotional depth, frequency, timing, and mechanic.
- Develop standardized pre/post‑event measurement methodologies.
- Identify patterns associated with high‑ and low‑performing promotions.
- Partner with RGM to provide the analytical evidence required to optimize future promotion and trade strategies.
- Analyze everyday and promotional pricing across products, customers, channels, and competitors.
- Support pricing and elasticity analysis.
- Analyze SKU‑level distribution and velocity.
- Evaluate distribution incrementality and SKU productivity.
- Quantify performance following pricing, assortment, or distribution changes.
- Support RGM and Category Management with analysis of assortment and price‑pack opportunities.
- Integrate data from syndicated sources, retailer platforms, internal shipment data, TPM, financial systems, and other commercial data sources.
- Develop scalable dashboards, models, scorecards, and analytical tools.
- Establish consistent definitions and methodologies for commercial KPIs.
- Partner with Sales Operations and other data owners to identify and resolve data‑quality gaps.
- Reduce manual reporting through repeatable analytical processes and automation.
- Partner with the Director of Data…
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