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Sr. Mgr. Advanced Analytics & Modeling

Job in Lakeville, Dakota County, Minnesota, 55044, USA
Listing for: Dormont Manufacturing Co
Full Time position
Listed on 2026-07-03
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Business Systems/ Tech Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 128000 - 176000 USD Yearly USD 128000.00 176000.00 YEAR
Job Description & How to Apply Below

Ocean Spray is hiring for a Senior Manager, Advanced Analytics & Modeling. We’re a team of farmers, thinkers, creators, and doers. Where you are, your role matters because we’re a farmer-owned co‑op that rolls up sleeves to get the job done.

The Senior Manager, Advanced Analytics & Modeling leads advanced analytics capabilities that support critical business decisions. The role partners closely with marketing, sales, brand elevation, and IT to translate data into actionable insights through statistical modeling, AI, and ML. The manager simplifies complex model results into business recommendations, leads a team of analytics, reporting, and visualization professionals, manages datasets from internal and external sources, and applies statistical expertise to solve business problems.

Operating with autonomy, the manager influences cross‑functional outcomes and contributes to functional strategy while focusing on execution, delivery, and talent development.

A Day in the Life… Applied Analytics & Modeling
  • Provide analytical expertise to support modeling initiatives, business issue resolution, and advanced analytics use cases.
  • Collaborate with internal analytics teams and external partners to scope, review, and apply analytical models that improve business outcomes.
  • Anticipate emerging analytical needs and proactively recommend solutions.
  • Keep a pulse of external methodologies in modeling techniques, AI, and ML with an eye to bringing them into Ocean Spray.
Team Leadership & Talent Development
  • Lead, coach, and develop a team of analytics and visualization professionals, including managers and senior individual contributors.
  • Set clear objectives, prioritize work, and ensure alignment with business goals and timelines.
  • Foster a high‑performing team culture focused on continuous improvement, collaboration, and analytical rigor.
Cross‑Functional Partnership
  • Partner with Demand Planning, Revenue Management, Supply Planning, Sales, Marketing, and other functions to define business needs and translate them into analytics requirements.
  • Collaborate closely with Revenue Growth Management to build, visualize, and model pricing and promo reporting.
  • Serve as a trusted thought partner to business stakeholders by translating complex data into clear insights and recommendations.
  • Support decision‑making through scenario analysis, trend identification, and performance measurement.
Data & Technology Enablement
  • Collaborate closely with Global IT counterparts to maintain and enhance the analytics and intelligence framework, tools, datasets, and standards.
  • Lead efforts to connect key technical data sources and identify opportunities to drive automation and improve data accessibility.
  • Evaluate and adopt new analytics approaches, tools, or methods that increase efficiency and productivity.
Operational & Process Leadership
  • Establish and refine analytics standards and best practices within the function.
  • Balance short‑term delivery with longer‑term capability building.
  • Contribute to functional planning, resourcing, and prioritization decisions.
What We Are Looking For :
Required
  • Bachelor’s degree in an analytical field (e.g., Engineering, Statistics, Operations Research, Data Science, Economics).
  • 7–10 years of experience in analytics, data management, reporting, or related fields.
  • Familiarity with statistical programming languages (SAS, R, Python, etc.) and CPG data structures from Nielsen and IRI.
  • Demonstrated experience leading teams in advanced analytics, modeling, or business intelligence environments.
  • Proven ability to lead and develop high‑performing analytics teams.
  • Strong ability to partner with and influence cross‑functional leaders.
  • Ability to work with external analytic partners.
  • Comfortable operating with ambiguity and setting direction within defined strategic guardrails.
  • Strong understanding of data architecture, data integration processes, and analytical methodologies.
  • Advanced experience with relational databases and analytical tools.
  • Hands‑on experience with data visualization platforms (Power BI preferred).
  • Ability to translate technical analysis into business‑relevant insights and recommendations.
  • Exceptional analytical, problem‑solving,…
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