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Verified Job Hardware / Network Engineer

Product Analytics Manager

Los Angeles, California
Hardware / Network Engineer
#4907
Remote / WFH

Job Description

Full job description
Company Description

VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most.

As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service.

VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world.


Job Description

We're looking for a strategic and data-driven Product Analytics Manager to advance our streaming and ticketing platforms, driving audience growth and revenue. This role will lead analytics initiatives that enhance content discovery, improve conversion, and optimize the end-to-end streaming and ticketing experience.

You'll partner closely with Product, Content, Marketing, and Engineering teams to translate data into insights that inform product decisions, improve customer experiences, and accelerate growth & monetization.

Key Responsibilities

Define and track product KPIs across the user lifecycle, including feature adoption, conversion and engagement
Analyze cross-platform user behavior (web, mobile, CTV) to identify opportunities to improve discovery and conversion
Partner with Product to evaluate feature performance and prioritize enhancements
Identify friction points in user journeys and recommend solutions to improve conversion and revenue
Collaborate cross-functionally to support and execute conversion-focused initiatives
Design and analyze A/B tests to optimize product experiences and improve purchase completion
Develop dashboards and reporting to monitor product performance and funnel metrics
Leverage Adobe Analytics and large-scale behavioral datasets (via SQL) to generate actionable insights on user engagement, content performance, and conversion
Partner with Data Engineering and Data Implementation teams to improve tracking, data quality, and analytics reliability
Present insights and recommendations to inform product strategy
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