Product Data Analyst, Music

As a product-led organization, Global Nielsen Media puts the product at the center of the strategy and brings cross-functional teams together to work on particular products. With over 2,800 global patents in over 80 countries, the Product team drives value with cutting-edge solutions and analytics to create insights. Be a part of creating the innovative solutions that define the media ecosystem playing field and enable media markets to function
Explore and discover Nielsen! Nielsen is the global standard for entertainment data and technology focusing on audience measurement, audience insights, and audience experience.
Gracenote, a Nielsen Company is the leading provider of entertainment metadata and media recognition technology that powers the world's top broadcast, on-demand, and streaming platforms for television, movies, music, and sports.
Together, Gracenote and Nielsen power audience experience, measurement, and insights throughout the world, aggregating and authoring the largest entertainment metadata dataset available.
We are presently looking for a Product Analyst for our Music product line. Our team seeks someone passionate about data to join us as a Product Analyst. Product Analystsknow our data inside and out and leverage this knowledge and tools to improve productperformance, quality and end consumer experience. The ideal candidate is proactive to identifyproduct issues, analytical to identify patterns, data driven to drive decisions and will work closely withProduct Managers, Content, and Engineering.

Responsibilities

• Develop deeper product understanding and be proactive to identify product quality and performance issues. Collect and analyze data to draw insight and identify solutions for our radio and music product offerings
• Conduct business performance analysis across products and features
• Drive product performance and quality metrics, analyzing Gracenote’s datasets against the client/customer experience
• Continuous learning from on-going QC and results to improve upon product KPIs
• Develop tools to present dashboards and findings around usage, performance, and stability to varying audiences/stakeholders to support product decisions and roadmap
• Manage ad hoc reports and quantitative analysis to iron out bugs and issues with engineering
• Work closely with cross-functional stakeholders to gather data requirements and oversee process implementation

Requirements

• 3+ years post-collegiate work experience in a quantitative/data analytics field or equivalent educational experience focused on data analysis
• Ability to synthesize complex datasets into simple and compelling information
• Highly motivated, proactive and able to solve diverse problems efficiently
• Proven history of decision making and cross-functional influence through data insights
• Fluent in SQL and Python
• Prior experience with AWS, SQL data systems, and no-SQL architecture preferred. (Experience with AWS Quicksight a plus)
• Experience with building and presenting dashboards and reports to stakeholders
• Prior experience in driving product KPIs and processes is beneficial
• Computer Science/Math/Stats with focus on data analytics is a plus

#LI-DG1#LI-Remote