Ice Cream Customer Analytics & Insights Associate Manager

The Magnum Ice Cream Company • Englewood Cliffs, NJ

6d • $86,080 - $129,120 • Hybrid

About The Position

Ice Cream Customer Analytics & Insights Associate Manager Scope: US, Customer Development Location: Englewood Cliffs, NJ - Hybrid (Minimum 2 Days in Office) Terms & Conditions: Full time, International sponsorship or relocation not supported If you are in the Ice Cream business or consider choosing to work for the The Magnum Ice Cream Company Ice Cream business, you will work for the Global, leading Ice Cream player with €7.9bn Turn Over in 2023. The Ice Cream business is operating in a highly attractive category, as we are part of the 1 trillion snacking and refreshment industry, growing consistently at high pace. We have strong brands equities: 5 of top 10 selling brands including Magnum and Ben & Jerry’s. We are investing to unlock the full growth potential of Ice Cream as a standalone entity, once we separate from Unilever, which happened in December of 2025. Ice Cream has distinct characteristics from TMICC’s other operating businesses and the growth potential of Ice Cream will be better delivered under a different ownership structure. As an Ice Cream company we are committed to developing and nurturing talent within. You will have ample options for career growth and exploration, allowing you for you to explore roles and opportunities across the new organization. Your career development will be a priority for us, and we are dedicated to supporting your growth journey within the new company. We hope that you will want to build the new chapter of our Ice Cream history together with us. ABOUT ICE CREAM: Life Tastes Better with Ice Cream TMICC Ice Cream is the largest global Ice Cream Company in the world, with over 100 years of experience delivering a diverse range of indulgent, yet responsible, craft food experiences and treats delighting consumers. Committed to innovation, quality, and sustainability we have 35 brands, including 3 one billion Euro brands (Magnum, Wall’s, Ben & Jerry’s), a strong presence in over 60 countries, generating annual revenue of over $8 billion. All brands are driven to transform moments into memories through indulgent yet responsibly made and marketed products. We have a well-developed strategy to deliver growth and value creation which is clear on where to play and how to win. We turn the ordinary into the extraordinary by designing unique and innovative Ice Cream experiences that make life taste better, creating joyful experiences. In our Ice Cream business, we’re crafting the future through innovation and imaginative minds, creating unique products. We spark moments of happiness for people and within the communities where we operate. However, it is not as simple as it may seem. As Ice Cream makers we are serious about happiness. With warm hearts, we create the coolest products. JOB PURPOSE: The Customer Analytics Associate Manager will report to the Customer Analytics Engineering Lead and play a key role in developing and operationalizing advanced analytics and data solutions that drive commercial performance across the US Customer Development function. This role is responsible for creating engaging data visualizations, building predictive models, and developing guided analytical reports/capabilities that embed insights directly into business decision-making. Working at the intersection of data science, data engineering, and business strategy, you will help shape Magnum’s analytics capabilities across promotion optimization, demand forecasting, assortment, shopper marketing, and digital commerce. You will be supported by the Data Engineering Lead and the Data Scientist Lead to ensure the seamless integration of data pipelines, models, and visualization solutions that bring analytics to life and accelerate sales growth. The ideal candidate combines strong technical expertise with a passion for storytelling and user experience, translating complex data into actionable insights that empower teams and influence strategic decisions.

Requirements

• 4+ years of experience with cloud data platforms (Azure, AWS, GCP) and Databricks, with strong proficiency in SQL, PySpark, Python, and DAX for building high-performance data transformations and pipelines.
• Technical aptitude and the ability to lead teams toward business-value focused technology solutions
• Expertise in cloud data platforms (Azure, AWS, GCP), and Databricks (3+ years experience).
• Proficiency in SQL, PySpark, Python, DAX for building high-performance data transformations & pipelines.
• Hands-on experience with Databricks, Azure Data Factory, Delta Lake, Power BI, Alteryx and related cloud data technologies.
• Experience with data visualization tools like PowerBI, Tableau.
• Strong ability to communicate technical findings to non-technical audiences, turning data into actionable business narratives.
• Intellectual curiosity and strong analytic ability
• Preparedness to develop a deep understanding of business operations and needs for the Customer Development function
• Excellent planning, organization, and project estimation skills
• Strong understanding of the use and management of retailer and syndicated data
• Ability to work collaboratively with cross functional teams both locally and globally
• Ability to communicate and present complex topics clearly and compellingly to business stakeholders
• Strong understanding of data science principles and data visualization approaches
• Solid understanding of data modelling and semantic layer design to support analytics and reporting use cases
• Proficiency in coding languages such as Python, PySpark, DAX and SQL
• Ability to collect business requirements and translate into technical solutions
• Experience using tools like Databricks, Azure Data Factory, Power BI, and Alteryx
• Experience leveraging data sources such as Circana, Nielsen, panel data, and retailer data
• Ability to design intuitive and compelling front end business applications
• Data Science, Computer Science or study in related field
• Experience creating end-to-end data analyses or capabilities for a business focused audience
• Experience collecting business requirements and translating them into technology projects
• Experience applying data science, machine learning, and AI to business problems in Consumer Goods organization
• Experience working in a consumer goods organization
• Experience with the use and management of retailer and syndicated data (such as Circana, Nielsen)

Responsibilities

• Work closely with business stakeholders to translate needs into well designed and executed technology products that are embedded into daily decision-making, with a focus on promotion optimization, syndicated and retailer data, demand forecasting, shopper marketing, digital commerce, and sales reporting
• Develop predictive and forecasting models (e.g., forecasting demand, pricing, promotions optimization, customer/shopper behavior) that drive commercial decision-making and business performance.
• Collaborate with data engineering to define consistent business logic and unified data definitions, consistent with how the business operates, that enable self-service analytics and integration across data products.
• Build engaging data visualizations and guided analytical reports, applying UI/UX design principles to ensure insights are intuitive, accessible, and actionable for business users.
• Contribute to data engineering workflows, including data preparation, pipeline optimization, and integration with analytical models to support scalable, high-quality data solutions.
• Build advanced analytics capabilities including demand forecasting, promotion performance, assortment optimization, and shopper behavior modeling.
• Liase with local and global business and technology teams to define, manage, and enhance Magnum’s Customer Development analytics capabilities
• Conduct advanced analytics analyses using data science, machine learning, and AI to uncover insights that generate tangible business value
• Communicate and deliver engaging data visualizations and data narratives that bring data to life for both technical & non-technical audiences, simplifying complex concepts and enabling decision-making across commercial teams.
• Support the Customer Development Leadership Team (CDLT) in its achievement of key sales KPIs

Benefits

• TMICC employees are eligible to participate in our benefits plan. Should the employee choose to participate, they can choose from a range of benefits to include, but is not limited to, health insurance (including prescription drug, dental, and vision coverage), retirement savings benefits, life insurance and disability benefits, parental leave, sick leave, paid vacation and holidays, as well as access to numerous voluntary benefits. Any coverages for health insurance and retirement benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed