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Ocean Spray

Grower-owned cooperative producing cranberry beverages

Manager, Commercial Analytics & Revenue Growth

Data ScienceConfirmed live in the last 24 hours
Full-timeLakeville, MA, USA$116.3k - $145.4k /yr

About the Job

Requirements

  • A bachelor's degree in Statistics, Economics, Data Science, Mathematics, Business Analytics, Computer Science, or a related quantitative field is required.
  • At least 5 years of progressive experience in advanced analytics, econometric modeling, revenue growth analytics, data science, or related quantitative disciplines is required.
  • Advanced proficiency in Python, SQL, SAS, and modern analytics platforms is required.
  • Experience developing statistical, econometric, predictive, causal, machine learning, and optimization models is required.
  • Experience with Marketing Mix Modeling, pricing and promotion analytics, trade optimization, controlled store testing, A/B testing, forecasting, and revenue growth management analytics is required.
  • Experience working with large structured and unstructured datasets is required.
  • Knowledge of Power BI, Tableau, or similar data visualization and business intelligence platforms is required.
  • Strong business acumen and ability to connect analytical findings to commercial outcomes are required.
  • Ability to influence stakeholders across multiple functions and organizational levels is required.
  • Project management, prioritization, and organizational skills are required.
  • Communication, presentation, and storytelling abilities are required.
  • Ability to manage multiple analytical initiatives and deliver high-quality results in a fast-paced environment is required.
  • Problem-solving ability, intellectual curiosity, and commitment to continuous improvement are required.

Responsibilities

  • Develop, maintain, and enhance commercial, forecasting, and optimization models that drive growth, improve business performance, and support strategic decision-making.
  • Execute Marketing Mix Modeling 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.
  • 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.
  • 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.
  • Develop clear, compelling, executive-ready presentations and reports communicating 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.

Desired Qualifications

  • A master's degree is preferred.
  • Consumer Packaged Goods, retail, and syndicated data experience are strongly preferred.
  • Experience with Circana (IRI), Nielsen, retail scanner data, syndicated data sources, and internal sales and financial data is preferred.

About the Company

Ocean Spray

Grower-owned cooperative producing cranberry beverages

Ocean Spray is a grower-owned agricultural cooperative that produces cranberry- and citrus-based beverages. Its main products include cranberry juices, juice cocktails (such as Cran-Apple), and historically, jellied cranberry sauce. The cooperative model means the cranberry and grapefruit growers themselves own the company, which helps set stable prices and leverage collective marketing power. The product line expanded from cranberry sauce to juices after a crisis in 1959, targeting blended juice drinks to diversify beyond single-fruit offerings. Unlike many brands that are owned by outside investors, Ocean Spray has remained cooperatively owned and has rejected acquisition offers, maintaining alignment with its grower-owners. The company’s goal is to expand markets for its fruit by developing and selling juice beverages and other related products while providing stable returns to its growers.

Company size
1,001-5,000
Company stage
Grant
Total funding
$20K
Headquarters
Middleborough, MA
Founded
1930

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