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Manager, Advanced Analytics & Modeling

Job in Lakeville, Dakota County, Minnesota, 55044, USA
Listing for: Ocean Spray
Full Time position
Listed on 2026-08-26
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Data Scientist
Salary/Wage Range or Industry Benchmark: 116000 - 145000 USD Yearly USD 116000.00 145000.00 YEAR
Job Description & How to Apply Below

Ocean Spray is hiring for a(n) Manager, Advanced Analytics & Modeling! We’re a team of farmers, thinkers, creators, and doers. Whatever your title, whatever your role — it always comes back to this: we’re a farmer-owned co-op where everyone rolls up their sleeves to get the job done. Three maverick farmers started it all - and we’ve been making our own way ever since.

Position Location:

We're all about flexibility! This will be a hybrid role based out of our corporate headquarters in Lakeville, MA with Mondays and Fridays remote.

The Advanced Analytics & Modeling Manager is responsible for transforming data into actionable business insights that drive profitable growth, operational effectiveness, and strategic decision-making across Ocean Spray. This role applies advanced analytics, statistical modeling, forecasting methodologies, and optimization techniques to address complex business challenges and support fact‑based decision‑making. Working closely with Revenue Growth Management, Marketing, Sales, Demand Planning, Finance, Innovation, and Information Technology, this position delivers analytical solutions that improve business performance, identify growth opportunities, and optimize commercial investments.

The role serves as a trusted analytical partner, translating complex data into practical recommendations that create measurable business value.

A Day in the Life
  • Develop, maintain, and enhance commercial, forecasting, and optimization models that drive growth, improve business performance, and support strategic decision‑making.
  • Execute Marketing Mix Modeling (MMM) analyses to evaluate marketing effectiveness and optimize investment allocation across brands, channels, tactics, and customer segments.
  • Develop pricing, promotion, and elasticity analyses to quantify business impact and support revenue growth strategies.
  • Design and evaluate controlled experiments, A/B tests, and test‑and‑learn initiatives to measure business impact and support decision‑making.
  • Create scenario analyses and simulation models to evaluate strategic alternatives and support business planning activities.
  • Apply statistical, econometric, machine learning, and optimization methodologies to solve business challenges and uncover actionable opportunities.
  • Conduct ad hoc analytical projects and modeling initiatives to address evolving business questions and strategic priorities.

Business Partnership & Insights

Partner with cross‑functional stakeholders to understand business objectives and translate them into analytical solutions. Translate analytical findings into actionable recommendations, quantify business impact, and communicate results to support fact‑based decision‑making. Support business initiatives through performance measurement, business case development, and analytical consultation. Collaborate with external analytics providers and syndicated data partners, including Circana and Nielsen, to support analytical initiatives and validate methodologies.

Data & Analytics Excellence

Analyze large, complex datasets from internal and external sources to identify trends, insights, risks, and opportunities. Ensure analytical consistency and quality through standardized methodologies, documentation, and validation practices. Collaborate with internal and external partners to ensure data quality, integrity, accessibility, and usability.

Communication & Storytelling

Develop clear, compelling, and executive‑ready presentations and reports that communicate analytical findings, business implications, opportunities, risks, and recommendations to technical and non‑technical audiences. Present findings and recommendations to stakeholders and leadership teams to support alignment and action.

What We Are Looking For

Education & Experience

  • Bachelor’s degree in Statistics, Economics, Data Science, Mathematics, Business Analytics, Computer Science, or a related quantitative field required.
  • Master’s degree preferred.
  • 5+ years of progressive experience in advanced analytics, econometric modeling, revenue growth analytics, data science, or related quantitative disciplines.
  • Consumer Packaged Goods (CPG), retail, and syndicated data experience strongly…
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