Analytics Engineer Manager, CNBC & MS NOW

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.

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
• Prioritize high-impact data investments with analytics and business teams

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
• 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)