Manager, Advanced Analytics & Modeling

Ocean Spray; Lakeville (MN); Hybrid; USD 116,000 - 145,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Vacation and personal time

Job summary

Ocean Spray is hiring a Manager, Advanced Analytics & Modeling to transform data into actionable insights that drive growth and profitability. Based at the Lakeville, MA corporate HQ with Mondays and Fridays remote, you will work across Revenue Growth Management, Marketing, Sales, and Finance to deliver analytical solutions that support strategic decision-making.

You will develop models, conduct MMM analyses, and lead pricing, elasticity, and test initiatives, translating findings into clear

Qualifications

• Bachelor’s degree in a 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 preferred.

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 (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.

Skills

Python

SQL

SAS

MMM

Forecasting

A/B testing

Price analytics

Education

Bachelor’s degree in Statistics, Economics, Data Science, Mathematics, Business Analytics, Computer Science, or a related quantitative field

Master’s degree preferred

Tools

Power BI

Tableau

Circana (IRI)

Nielsen

Job description

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 preferred.

Technical Skills

• Advanced proficiency in Python, SQL, SAS, and modern analytics platforms.


• Experience developing statistical, econometric, predictive, causal, machine learning, and optimization models.


• Experience with Marketing Mix Modeling, pricing and promotion analytics, trade optimization, controlled store testing, A/B testing, forecasting, and revenue growth management analytics.


• Experience working with large structured and unstructured datasets.


• Knowledge of Power BI, Tableau, or similar data visualization and business intelligence platforms.


• Experience with Circana (IRI), Nielsen, retail scanner data, syndicated data sources, and internal sales and financial data preferred.

Leadership & Business Skills

• Strong business acumen with the ability to connect analytical findings to commercial outcomes.


• Ability to influence stakeholders across multiple functions and organizational levels.


• Excellent project management, prioritization, and organizational skills.


• Strong communication, presentation, and storytelling abilities.


• Demonstrated ability to manage multiple analytical initiatives and deliver high‑quality results in a fast‑paced environment.


• Strong problem‑solving skills, intellectual curiosity, and commitment to continuous improvement.

Education

Bachelor's or University Degree (Required)

Master's Degree (Preferred)

Work Experience

At least 7 Years of Experience

Annual Salary

$116,300 - $145,400

The base salary range information above serves as a guideline of the position’s typical hiring range. We value and appreciate what makes you unique and will consider a variety of factors when determining an offer. These factors include, but are not limited to, your skills and experience, external and internal benchmarks, as well as overall company considerations. Certain positions may be eligible for short‑term and long‑term incentive rewards.

Benefits

• Complete insurance package on Day‑1 that includes a plethora of health and wellness programs


• Health, Dental and Vision insurance


• Health savings account


• Flexible spending account


• Life and accident insurance


• Employee assistance program


• Telehealth services


• 1:1 health coaching


• Supportive benefits for all the stages of your life


• 401(k) with up to 6% Company matching; additional potential discretionary match at year‑end


• Short-Term Incentive/Performance bonuses


• Flexible scheduling options


• Vacation pay, up to three weeks of time (pro‑rated for your first year of employment)


• Holiday pay for 12 holidays


• Career development and growth opportunities


• Tuition/Education assistance programs


• Access to LinkedIn Learning


• Scholarship programs for children of employees


• Parental leave


• Bright Horizons Family Solutions - Back-up care, tutoring, etc.


• Adoption assistance


• Bereavement leave


• Up to $300 fitness reimbursement


• Up to $300 massage reimbursement


• Employee appreciation events


• Employee discounts


• Charitable giving

Who We Are

You might have our iconic cranberry juice in your fridge or have gotten into heated holiday debate about what’s better - canned or fresh cranberry sauce. But did you know that the hardworking people growing the superfruit in our products are 700 family farmers that own our cooperative? They entrust us with what is most precious to them to create new and innovative products that will delight consumers and grow this beloved brand today and into the future. Team members, farmers, consumers and communities alike–we value what makes us unique and strive to connect our farms to families for a better life by living our values: Grower Mindset - We embrace our grower‑owners innovative spirit and heritage through confidence, learning and focus on the future. Sustainable Results - Guided by purpose, we are focused on delivering results for our grower-owners. Integrity Above All - We are ethical, doing the right thing for our grower-owners, customers, consumers and each other Inclusive Teamwork - We build diverse and inclusive teams that strengthen our cooperative.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

For MA Applicants – It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. Any employer who violates this law shall be subject to criminal penalties and civil liability.