Versant
Media
AnalyticsEngineerManager,CNBC&MSNOW
Neural analysis suggests this role is
optimal for mid candidates.
“Analytics Engineer Manager, CNBC & MS NOW at Versant. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and maintain data pipelines. Build and optimize data models”
Industry & Context.
What They're Looking For.
Must Have
5+ years of experience, SQL proficiency, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field
Nice to Have
PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio
What You'll Do.
Develop and maintain data pipelines
Build and optimize data models
Design and implement ETL/ELT processes
Develop machine learning models
Deploy machine learning models
Monitor model performance
Create and maintain BI dashboards
Analyze data to provide insights
Collaborate with stakeholders
Ensure data quality and integrity
Stay updated on industry trends
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams; Product teams; Business stakeholders
Full Job Description
VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant’s sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. 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 a
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