Senior Analytics Engineer

About the role

Antenna is the leading provider of data and analytics for subscription media services in the U.S. Antenna's standardized metrics, competitive benchmarks, syndicated insights, and market intelligence are trusted by some of the most recognized and respected brands across media and entertainment sectors. Using a proprietary AI-powered approach, Antenna connects subscription activities with real consumer viewership to provide services, studios, and creators with an unmatched, market-wide view of subscriber behaviors to better understand acquisition, retention, and engagement.

We're looking for a Senior Analytics Engineer to join our Data Operations team to own the reliability, release, and customer-facing correctness of Antenna's core data products. This role will sit at the intersection of Product, Data Science, and Engineering, and makes judgment calls that materially affect customer trust and business decisions.

Antenna is a remote-first company, and we are looking for candidates who can work during US business hours. Preferably, you should be based in a US time zone (Eastern, Central, Mountain, or Pacific). You will report to our VP, Data Operations.

What You’ll Do

- Partner with our Commercial team to understand how our customers use Antenna data to inform critical business decisions — and design and build data solutions that let them do that with zero friction

- Manage the end-to-end data product release, prioritizing tasks and project-managing cross-functional teams to ensure accurate, reliable, and on-time delivery of data to all internal and external stakeholders

- Develop and deploy strategic product improvements that maximize both data quality and business impact

- Build and optimize systems to proactively monitor data quality at each stage of the pipeline. Perform root-cause analyses, find scalable solutions, and propose improvements to methodology and pipeline capabilities

Who You Are

- Strategic thinker with 6+ years of hands-on experience in data-focused roles

- Expert in SQL, DBT (or similar), Excel, and business intelligence tools (e.g. Looker, Redash), comfortable navigating complex ETL systems and messy data.

- Expert use of AI to streamline data workflows and elevate data product reliability — without adding QA overhead

- Proven ability to organize, analyze and vet large volumes of data with great attention to detail

- Comfortable making defensible judgment calls in gray areas: you can tell a genuine data-quality issue from a real signal in the data, use hypothesis testing to rule out sources of discrepancy, and run root-cause investigations that stop the problem from recurring

- Strong communication and stakeholder management skills; able to translate technical concepts and align Data Ops initiatives with customer-centric objectives

- Passionate about solving customer problems

- Self-starter with the ability to carry multiple initiatives, prioritize time and resources, and meet deadlines in a fast-moving environment