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AnalyticsEngineerManager,CNBC&MSNOW
“Analytics Engineer Manager, CNBC & MS NOW at Versant. Skills: Databricks environment, data modeling, forecasting, statistical 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”
Industry & Context.
passion for improving self-service and scalability
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
Nice to Have
GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified
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; 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; Partner with analytics and business teams to prioritize high-impact data investments
Communication Scope
Excellent collaboration skills
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