Customer Analytics & Insights Associate Manager

Scope: US, Customer Development

Location: Englewood Cliffs, NJ - Hybrid

Terms & Conditions: Full time, International sponsorship or relocation not supported

The Ice Cream division at Unilever is preparing to stand on its own, aiming to become an independent, EUR 8.3 billion publicly listed company by the end of 2025. We’re on a mission to create the ultimate snacking company.​ A place where growth, innovation, founder and ownership mentality, and performance are cultivated and rewarded. And where we craft extraordinary ice cream experiences - transforming ordinary moments into lasting memories.​ Because we know, life tastes better with ice cream.​

The Magnum Ice Cream Company is all about growth. Growing our business. Growing our customers’ businesses. Growing our people’s careers.​ Growth begins with empowerment. So we free our people to be innovative, responsible entrepreneurs, driven and equipped to give our consumers more amazing products and unforgettable moments – and having fun doing it.​  

With 19.000 expert ice cream colleagues and iconic brands like Wall’s, Cornetto and Ben & Jerry’s, loved in 76 countries, we are the world’s largest Ice Cream company leading the industry.  We have been taking pleasure seriously for more than 100 years, serving happiness with every lick or scoop of ice cream for generations.  

We are investing to unlock the full growth potential of The Magnum Ice Cream Company as a standalone entity, once we separate from Unilever, which is planned to happen before the end of 2025.  

We dream big but keep things simple to act fast.​ 

If you want to grow with us, make an impact, and shape the future of Ice Cream, this is the place for you! 

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.

KEY 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

WHAT YOU NEED TO SUCCEED:  

• 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

SKILLS:

• 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

EXPERIENCES & QUALIFICATIONS:

• 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)

Pay: The pay range for this position is $86,080 to $129,120. TMICC takes into consideration a wide range of factors that are utilized in making compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, qualifications and education, and other business and organizational needs.  

Bonus: This position is bonus eligible.  

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.  

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Unilever is an Equal Opportunity Employer/Protected Veterans/Persons with Disabilities.

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