Analytics Product Analyst

Analytics Product Analyst

Mahwah, NJ (onsite)

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.

• 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

• 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; experience with No
  
  SQL datasets is preferred
• 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
• Experience with cloud data platforms such as Azure, Snowflake or Big Query 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

$93,482 to $173,609
Compensation is determined based on experience, qualifications, internal equity, location and company guidelines