Versant
news, sports and entertainment
AnalyticsEngineerManager
Neural analysis suggests this role is
optimal for mid candidates.
“Analytics Engineer Manager at Versant. Skills: Databricks environment, data modeling, forecasting models, SQL. Own and evolve the teams Databricks environment, creating clear and scalable structures. Partner with data engineering to enhance upstream (silver-layer) data models and pipelines”
What You'll Achieve.
scale our data foundation; building high-quality datasets and forecast models that power insights across audience, content, and revenue; improve how data is structured, defined, and used; setting standards for modeling, quality, and documentation; ensure analysts can work directly in the warehouse with confidence; accelerating insight generation; raising the technical bar across the team
Industry & Context.
external candidates may be required to attend an in-person interview
What They're Looking For.
Must Have
5 years of experience in analytics engineering, data analytics, or a related field, expertise in SQL, working in modern data platforms (e. g. Databricks), Experience building and maintaining data models across bronze/silver/gold layers (or equivalent), Proven ability to define and enforce data quality, testing, and documentation standards, Experience developing forecasting or statistical models (e. g. , for traffic, revenue, or subscriptions), understanding of how analysts use data, with a passion for improving self-service and scalability, Ability to balance hands-on technical work with enablement and mentorship of others, Excellent collaboration skills, with experience partnering with data engineering and cross-functional teams
What You'll Do.
Own and evolve the teams Databricks environment
creating clear and scalable structures
Partner with data engineering to enhance upstream (silver-layer) data models and pipelines
Ensure data is reliable
and aligned with business definitions
Set standards for data modeling
Coach and support analysts in writing production-quality SQL and building transformations
Build forecasting and modeling frameworks for digital traffic and subscriber forecasting
Partner with analytics and business teams to prioritize high-impact data investments
How You'll Work.
Team & Collaboration
Partner with data engineering to enhance upstream (silver-layer) data models and pipelines; Coach and support analysts in writing production-quality SQL and building transformations; Partner with analytics and business teams to prioritize high-impact data investments; Excellent collaboration skills, with experience partnering with data engineering and cross-functional teams
Communication Scope
Excellent collaboration skills
Full Job 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. About the Role We’re looking for a strategic and technically strong Manager, Analytics Engineering to scale our data foundation. This role will lead the evolution of our Databricks environment, building high-quality datasets and forecast models that power insights across audience, content, and revenue. You’ll partner closely with analytics and data engineering teams to improve how data is structured, defined, and used, setting standards for modeling, quality, and documentation. Your work will ensure analysts can work directly in the warehouse with confidence, accelerating insight generation and raising the technical bar across the team. Key Responsibilities * Own and evolve the teams Databricks environment, creating clear and scalable structures * Partner with data engineering to enhance upstream (silver-layer) data models and pipelines * Ensure data is reliable, performant, and aligned with business definitions * Set standards for data modeling, QA, and documentation * Coach and suppor
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