Senior Product Analyst

Product Management Oakland, California


SiriusXM and Pandora have joined together to create the world’s largest audio entertainment company. Together, we are uniquely positioned to lead a new era of audio entertainment by delivering the most compelling subscription and ad-supported audio experiences to millions of listeners – in the car, at home and on the go. Our talent, content, technology and innovation continue to be at the forefront, and we want you to be a part of it! Check out our current openings below and at

Job Description

Pandora is seeking a talented, experienced Sr. Product Analyst to join the growing Product Management team. We’re looking for someone interested in ad products, analytics, and using insights to help innovate our ad product offering. This analyst will partner with ad product managers, designers, engineers, data scientists and sales teams to provide product usage and trend insights.


  • Analyze advertising interactions to optimize listener experience
    Provide key business insights that drive decision making based on trends (large focus on ad products)
  • Manage analytics lifecycle for ad products from concept to delivery
    Visualize key metrics on an ongoing basis to communicate out to product, sales, and exec teams  
  • Implement, manage, and reconcile internal and 3rd party metrics to drive product decisions
  • Collaborate with cross functional groups including Product, Business Development, Engineering and Sales to identify key product opportunities
  • Develop quantitative analysis, ad hoc reports, models, and A/B tests to support advertising decisions
  • Conduct ad hoc analysis to provide guidance to engineering around bugs and issues


  • Education: BA/BS in Economics, Statistics, Mathematics, or related field
  • 5+ years post-collegiate work experience in a quantitative field or equivalent educational experience
  • Previous product analytics experience in digital advertising preferred
  • Strong analytical skills and ability to clearly synthesize large dataset into key insights
  • Experience working with relational databases and SQL query languages
  • Familiarity with no-SQL architectures, R, or Python is a plus
  • Excellent time management and attention to detail
  • Comfortable in fast-paced and changing environment