About the RoleWe’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 ResponsibilitiesOwn and evolve the teams Databricks environment, creating clear and scalable structuresPartner with data engineering to enhance upstream (silver-layer) data models and pipelinesEnsure data is reliable, performant, and aligned with business definitionsSet standards for data modeling, QA, and documentationCoach and support analysts in writing production-quality SQL and building transformationsBuild forecasting and modeling frameworks for digital traffic and subscriber forecastingPartner with analytics and business teams to prioritize high-impact data investments
Job Details
| ID | #55070620 |
| State | New Hampshire |
| City | Newyork |
| Job type | Full-time |
| Salary | USD TBD TBD |
| Source | Versant |
| Showed | 2026-05-20 |
| Date | 2026-05-20 |
| Deadline | 2026-07-19 |
| Category | Et cetera |
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Analytics Engineer Manager, CNBC & MS NOW
New Hampshire, Newyork 00000 Newyork USA