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. The Customer Analytics Associate Manager will play a key role in developing and operationalizing advanced analytics and data solutions that drive commercial performance across the US Customer Development function.
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.
- 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 understanding of data science principles and data visualization approaches
- Proficiency in coding languages such as Python, PySpark, DAX and SQL
Responsibilities
- Develop predictive and forecasting models (e.g., forecasting demand, pricing, promotions optimization, customer/shopper behavior) that drive commercial decision-making and business performance.
- 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.
- 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.
- 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
Other
- Full time, International sponsorship or relocation not supported
- 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
- Preparedness to develop a deep understanding of business operations and needs for the Customer Development function
- Excellent planning, organization, and project estimation skills
