Associate Data & Analytics Product Manager

Unilever

Associate CO Data & Analytics Product Manager driving scalable analytics products at Unilever. Focusing on business transformation through data strategy and technology integration.

Posted 7/14/2026full-timeTrumbull • Connecticut • 🇺🇸 United StatesJuniorMid-Level💰 $88,600 - $133,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in driving data and analytics product development aligned with business transformation goals, leveraging advanced analytics and AI technologies. Proven ability to establish governance and best practices while fostering a data-driven culture within Customer Operations.

Highest-signal resume keywords

Data EngineeringAdvanced AnalyticsSQL ProgrammingPower BI VisualizationSupply Chain Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsAI-Enabled PlatformsPython ProgrammingPySpark ProgrammingScala Programming

Soft Skills

CollaborationLeadershipCommunication

Tools & Technologies

Power BITableauAzureGoogle CloudSAP

Industry Keywords

Customer OperationsDigital TransformationData-Driven CultureEnterprise Data StrategyBusiness Strategy

Tech Stack

Tools & technologies

AzureCloudPySparkPythonScalaSQLTableau

About the role

Key responsibilities & impact

Drive the design, development, and deployment of scalable data and analytics products that enable business transformation across Customer Operations.
Connect business strategy with data and technology, embedding new ways of working, accelerating adoption, and delivering measurable impact through innovative analytics solutions.
Define and drive the Data & Analytics capability strategy aligned to Customer Operations priorities, digital transformation goals, and enterprise data strategy.
Partner with business stakeholders, product teams, and engineering teams to translate business needs into deployable, high-value analytics products.
Establish standards, governance, and best practices to ensure sustainable product development, quality, scalability, and adoption.
Lead data, analytics, and AI-enabled transformation initiatives that advance Customer Operations toward a tech-forward operating model.
Strengthen end-to-end business visibility and customer-centric decision-making through scalable digital and analytics capabilities.
Build internal capability and foster a data-driven culture by championing modern analytics practices, innovation, and continuous learning.

Requirements

What you’ll need

Bachelor’s degree in data engineering, Supply Chain, Analytics, or related field
3+ years of experience in supply chain with a clear competence in analytics, digital technology (e.g., advanced analytics, AI-enabled platforms), and technology.
Proficiency with programming languages (e.g., SQL, Python, PySpark, Scala)
Experience with visualization platforms (e.g., Power BI, Tableau) and enterprise data ecosystems (e.g., Azure, Google Cloud)
Familiarity with enterprise systems (e.g., SAP) is preferred

Benefits

Comp & perks

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
access to numerous voluntary benefits