Ice Cream Customer Analytics Engineering Lead

The Magnum Ice Cream Company • Englewood Cliffs, NJ

8d • $115,680 - $173,520 • Hybrid

About The Position

The Customer Analytics Engineering Lead will report to the Associate Director of CD Analytics and Insights and will be responsible for the next generation of data capabilities and the data foundation, ensuring the US Customer Development function has the appropriate data, analytics, and tools necessary to achieve its sales ambitions. In this role, you will have the opportunity to build and architect a scalable data analytics platform and lead a dynamic data analytics team responsible for advancing Magnum’s selling capabilities across sales, category management, shopper marketing and channel strategy. This is a hands-on technical role with strong business integration. The ideal candidate not only has deep data engineering expertise but also thrives on working directly with commercial and customer development stakeholders to co-design data solutions that integrate seamlessly into business processes.

Requirements

• Technical aptitude and the ability to lead teams toward business-value focused technology solutions
• 8+ 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.
• Hands-on experience with Databricks, Azure Data Factory, Delta Lake, Power BI, DBT, 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 engineering principles and 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 Engineering, Computer Science or study in related field.
• Experience designing and implementing enterprise scale end-to-end data products 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 organizations
• Experience working in a consumer goods organization
• Experience with the use and management of retailer and syndicated data (such as Circana, Nielsen)

Nice To Haves

• Experience in a consumer goods Customer Development function
• Experience with retailer data platforms such as Scintilla, SymphonyAI, 1010data and 84.51 Stratum
• Familiarity with Digital Commerce and Shopper Marketing data solutions
• Experience managing analytics teams

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
• Design & implement a modern data lake environment to support scalable ingestion, transformation, and storage of retailer, syndicated, and internal commercial data.
• Establish the semantic layer and data modeling framework, defining consistent business logic and unified data definitions, consistent with how the business operates, that enable self-service analytics and integration across data products.
• Build and operationalize advanced analytic models, including demand forecasting, promotion performance, assortment optimization, and shopper behavior modeling.
• Liaise with local and global business and technology teams to define, manage, and enhance Magnum’s Customer Development analytics capabilities
• Maintain pulse on market for new third-party data and tool offerings
• 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