Customer Analytics & Insights Associate Manager

Ice Cream 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. Were 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.

ABOUT THE MAGNUM ICE CREAM COMPANY :

The Magnum Ice Cream Company is all about growth. Growing our business. Growing our customers businesses. Growing our peoples 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 Walls Cornetto and Ben & Jerrys loved in 76 countries we are the worlds 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 modelsand 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 Magnums 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 Magnums 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 $86080 to $129120. TMICC takes into consideration a wide range of factors that areutilizedin 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 toparticipatein 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. Anycoveragesfor health insurance and retirement benefits will bein accordance withthe terms and conditions of the applicable plans and associated governing plan documents.

At Unilever inclusion is at the heart of everything we do . We welcome applicants from all walks of life and are committed to creating an environment where everyone can thrive / succeed. All applicants will receive fair and respectful consideration and we actively support the growth and development of every employee.

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

For more information on your federal rights please see Know Your Rights : Workplace Discrimination is Illegal

Employment is subject to verification of pre-screening tests which may include drug screening background check credit check and DMV check.

If you are an individual with a disability in need of assistance at any time during our recruitment process please contact us at . Please note : This email is reserved for individuals with disabilities in need of assistance and is not a means of inquiry about positions or application statuses. The Protected Veterans or Individuals with Disabilities AAP narratives are available for inspection by any employee or applicant for employment Monday through Friday during normal business hours at establishment.

Required Experience :

Manager

Key Skills

Adobe Analytics,Data Analytics,SQL,Attribution Modeling,Power BI,R,Regression Analysis,Data Visualization,Tableau,Data Mining,SAS,Analytics

Employment Type : Full-Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 86080 - 129120