Analytics Product Analyst

Volvo Car CorporationMahwah, NJ
$93,482 - $173,609Onsite

About The Position

As Volvo evolves toward a data product operating model, this role ensures analytics are scalable, trusted, and aligned to enterprise data standards. It plays a critical role in turning raw data into actionable insights that drive performance, strategy, and innovation across the business.

Requirements

  • 2+ years of experience in analytics, business intelligence, or data product roles
  • Proficiency in modern analytics tools and platforms (e.g., Power BI, Snowflake, Snowflake Cortex)
  • Strong proficiency in SQL and experience querying large datasets
  • Understanding of data governance, data modeling, and modern data architecture concepts
  • Familiarity with AI enabled analytics tools
  • Strong analytical thinking with the ability to translate ambiguous business questions into structured analysis
  • Excellent communication skills with the ability to present insights to non-technical stakeholders

Nice To Haves

  • Experience with NoSQL datasets is preferred
  • Experience with cloud data platforms such as Azure, Snowflake or BigQuery is preferred
  • Data-driven problem solving and analytical thinking
  • Strong storytelling and data visualization capabilities
  • Ability to translate complexity into clarity
  • Cross-functional collaboration
  • Attention to data quality and governance
  • Curiosity and continuous learning mindset

Responsibilities

  • Define, develop, and maintain analytics data products and a scalable semantic layer to drive the delivery of actionable insights across the organization
  • Partner with stakeholders to translate business problems into structured, reusable analytics use cases and data requirements
  • Define and support KPIs, metrics, and measurement frameworks aligned to governed data domains
  • Collaborate with data product owners, engineering, and analytics teams to ensure solutions are scalable, governed, and aligned to enterprise data models
  • Apply modern analytics tools, automation, and AI enabled capabilities to accelerate insight generation, while identifying opportunities to modernize and reduce reliance on traditional reporting
  • Contribute to data governance efforts, including definitions, lineage, metadata, and quality standards
  • Translate complex data into clear, compelling insights and narratives for business and senior leadership
  • Support the transition to a data product driven analytics model, including standards, documentation, and ways of working
  • Continuously evaluate and adopt emerging analytics and AI technologies to enhance capabilities
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