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Ice Cream Customer Analytics & Insights Associate Manager

LinkedIn The Magnum Ice Cream Company Englewood Cliffs, NJ
Not Applicable Posted April 17, 2026 Job link
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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
  • 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)
Preferred Skills
  • Experience creating end-to-end data analyses or capabilities for a business focused audience
  • Experience with the use and management of retailer and syndicated data (such as Circana, Nielsen)
Education
  • (Not required) – Data Science, Computer Science or study in related field