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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.
What you'll do
- 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 requirementsÂ
- 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
What you'll bring
•   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 NoSQL datasets is preferred.Â
•   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 stakeholdersÂ
•   Experience with cloud data platforms such as Azure, Snowflake or BigQuery is preferred
Skills & Competencies
•   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
Salary Range
•    $93,482 to $173,609
Compensation is determined based on experience, qualifications, internal equity, location and company guidelines
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