The Subscription Economy has grown dramatically in the past decade, and is anticipated to almost triple again - from $635B to $1.5T - by 2025 [UBS].

But this growth is not just important economically. It is also dramatically changing the way that brands engage with consumers. The Subscription Economy enables brands to untether themselves from the established distribution channels and they have historically been stuck in, and to transcend transactional business models. The opportunity: deep, direct relationships with their customers, based on a long-term allegiance. And for consumers, this translates to much more choice, a dramatically better product experience, and a deeper connection with the brands they love.
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The fuel for this new world is data. Brands need to deeply understand consumer behavior to survive and thrive in the Subscription Economy. Enter Antenna.

We're looking for a Senior Data Analyst to join our Data Operations team to ensure predictable, accurate and timely delivery of data to internal stakeholders and our customers. In this role, you'll be expected to partner with our commercial team to understand how our customers are using our data to inform key business decisions – and build high quality data solutions that allow them to do that with zero friction. You will have the opportunity to collaborate with your team members in Data Operations, as well as Data Science, Engineering, Insight Analysts – and often, clients directly.

You will report to our Director, Data Operations. Antenna is remote-first and welcomes applicants from anywhere in the United States.

What You'll Do

• Partner with our commercial team to understand how our stakeholders are using our data to inform critical business decisions – and design and build high-quality data solutions that allow them to do that with zero friction.
• Ensure product updates are shipped rapidly and in full alignment with technical and commercial teams.
• Ensure data fulfillment is reliable, timely, and scalable for existing and new data solutions. Own existing and new data delivery channels, while continuing to find ways to optimize for speed and accuracy. Collaborate with Engineering partners to design and implement new solutions.
• Analyze large datasets to identify and resolve data quality issues, collaborating closely with internal stakeholders and engaging directly with clients as needed.
• Develop QA efficiencies across the data pipeline to ensure predictable, accurate, and timely delivery of data to both internal and external stakeholders.
• Develop and maintain documentation and processes that equip stakeholders to increase their understanding of what is possible.
• Support the launch of new data solutions ensuring there are scalable systems and processes to drive reliability, accuracy, and accessibility.
• Lead, manage, or mentor Data Analysts to successfully support various Data Operations activities.

Who You Are

• Expert in SQL, Excel and business intelligence tools e.g. Looker, Redash (3+ years).
• Strong problem-solving skills with an eye for detail.
• Strategic thinker with 4+ years experience working with data-driven products.
• Passionate about applying critical thinking and data analysis fundamentals to solve customer problems.
• Skilled at organizing, analyzing, and vetting large volumes of data with great attention to detail and accuracy.
• Track record of navigating complex ETL systems and collaborating with technical counterparts to improve operational processes and ensure data integrity.
• Excellent written and verbal communication skills with the ability to translate nuanced requests into successful outcomes.
• Self-starter with the capacity to deliver on multiple initiatives, prioritize time and resources, and meet deadlines in a fast-moving environment.
• Bonus: Experience with process automation, leveraging tools such as Python or R for data manipulation and delivery.