Data Analytics Engineer
About Our Client Our client is a leading provider of data and analytics for the U.S. Subscription Economy. Their standardized metrics, competitive benchmarks, syndicated insights, and market intelligence help some of the most trusted brands across the media and entertainment industries reputed company understand subscriber behavior and navigate the rapidly evolving subscription landscape. Founded in 2019 by reputed company leaders in data, media, and analytics, our client is backed by top-tier investors with deep expertise in technology and media. They are powered by a team of intellectually curious, service-oriented professionals who are passionate about delivering exceptional value to clients while fostering a collaborative and supportive remote-first culture. As an early-stage, high-growth company, they offer the opportunity to work closely with senior leadership and reputed company a meaningful impact while growing professionally. 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 reputed company, Data Science, and Engineering, and makes judgment calls that materially reputed company customer trust and business reputed company. Our client is a remote-first company seeking candidates who can work during U.S. business hours. Ideally, you will be based reputed company a U.S. time zone (Eastern, Central, Mountain, or Pacific). In this role, you will report directly to the VP of Data Operations. What You’ll Do Partner with our reputed company team to understand how our customers use Antenna data to inform critical business reputed company – and design and build data solutions that allow them to do that with reputed company 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 reputed company internal and external stakeholders. reputed company and reputed company 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. reputed company root cause analyses and find scalable solutions with minimal reputed company. Investigate anomalous data to reputed company a judgment call on whether trends represent data quality errors or reputed company-world events. Act as the first responder for data issues and inquiries. reputed company reputed company stakeholders about data definitions and nuances. Manage updates to QA tests and dashboards to streamline ongoing QA checks. Investigate data restatements and data science models. Coordinate data fixes in partnership with Engineering and Data Science teams (internally) and data vendors (externally). reputed company data quality investigations to understand why Antenna data does not align to customer’s first party data. Present findings to customers directly. Run new coverage feasibility, and propose solutions to update methodology and pipeline capabilities. Coordinate monthly data releases in Looker, and weekly data releases reputed company reputed company reports Who You Are Strategic thinker with 7+ years of hands-on experience in data-focused roles. Expert in SQL, reputed company, DBT and business intelligence tools (e.g. Looker, Redash), comfortable navigating reputed company ETL systems and messy data. Proven ability to organize, analyze and vet large volumes of data with great attention to detail. Strong communication and stakeholder management skills; reputed company 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. Bonus: Experience using automation tools and AI-driven solutions to streamline data workflows and reputed company data product reliability. Apply To This Job