Data Analytics & Operations Lead

Location:

NYC, NY or Denver, CO 4 days a week onsite

Location:

Chicago - Remote

• 5+ years of experience resolving data anomalies, troubleshooting pipelines, and building code from scratch.
• 5 Years of experience working in digital advertising, marketing tech, or advertising tech industries specifically with linear or streaming data.
• 5+ years of hands-on SQL and/or Python experience working directly with raw and intermediate datasets at scale.
• Strong experience investigating data anomalies, pipeline issues, and data quality problems across complex systems.
• Proven ability to automate analytics workflows, including deploying automation or AI-assisted solutions that improved efficiency and accuracy using AWS Databricks.
• Experience partnering closely with engineering and product teams to diagnose issues and drive resolution.
• Ability to define standards, acceptance criteria, and best practices rather than relying on existing processes.

This role focuses on owning the reliability and readiness of analytics outputs across the client's data ecosystem. On a daily basis, you will investigate large-scale TV and advertising datasets to understand data behavior, identify anomalies, and assess downstream impact. You will validate analytics outputs before delivery, define and refine standards for what "ready" means in analytics, and translate complex data findings into clear, client- and business-ready narratives.

The role involves building and improving automated analytics workflows—often within Databricks—partnering closely with engineering and product teams to clarify upstream data guarantees, and surfacing risks early to prevent client impact. You will also act as a technical and analytical mentor, contributing to a culture of ownership, clarity, and scalable analytics delivery. This role will also oversee the upskilling and development of junior members of the team.