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

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 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

Qualifications

• 5 years of experience in analytics engineering, data analytics, or a related field
• Strong expertise in SQL and 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)
• Strong 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

Additional Information:

• Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks.
• Salary range: $110,000 - $130,000 (bonus eligible)

Location & Perks: 
At CNBC Headquarters in Englewood Cliffs, NJ, you’ll have access to great perks and amenities: 

• Sweat it out -- Free onsite fitness center with state-of-the-art equipment, plus daily group classes
• Eat up -- Gourmet cafeteria with daily specials plus soup and salad bars 
• Extras -- Dry cleaning, shoe shining and sneak peeks 
• Don’t have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City 

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [email protected].

VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc.

VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.