Sr. Mgr. Advanced Analytics & Modeling

3M HEALTHCARE; Lakeville (MA); On-site; USD 128,000 - 176,000; Full time

Benefits offered by this job

Insurance package Day‑1

Vacation 21 days

401(k) with company match

Bonuses

Flexible scheduling

Education assistance

Parental leave

Wellness programs

Job summary

Ocean Spray is seeking a Senior Manager of Advanced Analytics & Modeling to lead analytics capabilities powering key decisions across marketing, sales, IT and more. You will guide modeling initiatives, collaborate with internal and external partners, and stay ahead of evolving analytics methods.

You will also lead a team of analytics and visualization professionals, shaping priorities and delivering high-quality insights that drive business outcomes.

Qualifications

• Bachelor’s degree in an analytical field and 7–10 years in analytics, data management or related areas.
• Experience leading analytics teams and collaborating with cross-functional partners.
• Proficiency with SAS, R, Python and data visualization tools, especially Power BI.

Responsibilities

• Lead advanced analytics initiatives and modeling efforts to support business decisions.
• Partner with internal teams to translate analytics into actionable insights.
• Develop and mentor analytics talent and ensure rigorous analytical practices.

Skills

Leadership

Cross-functional collaboration

Analytical thinking

Problem solving

Communication

Education

Bachelor of Science

Master’s Degree

Tools

SAS

R

Python

Power BI

Job description

Ocean Spray is hiring for a Senior Manager, Advanced Analytics & Modeling. This role focuses on leading advanced analytics capabilities to support critical business decisions across marketing, sales, brand elevation, IT and other functions.

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 the eye to bring 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, 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 into analytics requirements.
• Collaborate closely with Revenue Growth Management to help build out, 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 (Nielsen, 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, and critical‑thinking skills.
• Ability to prioritize effectively and simplify complex problems.
• Demonstrated success driving automation, efficiency, and scalable analytics solutions.
• Passionate about using data to drive better decisions.
• Ability to challenge assumptions and improve existing processes.
• Demonstrated ability to role‑model collaboration, ownership, and continuous improvement.

• Preferred
• Master’s degree preferred.

Education

• Bachelor of Science (Required)
• Master’s Degree (Preferred)

Work Experience

• At least 7 Years of Experience

Compensation

• Annual Salary: $128,000 – $176,000 (base salary range is a guideline; compensation may vary).

Benefits

• Complete insurance package on Day‑1 that includes health, dental, vision, health savings account, flexible spending account, life and accident insurance, employee assistance program and telehealth services.
• Individual health coaching.
• 21 days of vacation (up to three weeks pro‑rated for your first year).
• Holiday pay for 12 holidays.
• 401(k) with up to 6% company matching; additional discretionary match at year‑end.
• Short‑term incentive / performance bonuses.
• Flexible scheduling options.
• Tuition/education assistance programs and LinkedIn Learning access.
• Scholarship programs for children of employees.
• Parental leave and Bright Horizons back‑up care, tutoring, etc.
• Adoption assistance, bereavement leave, up to $300 fitness & massage reimbursement.
• Employee appreciation events, discounts, and charitable giving.

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.