Senior Data Analyst

Summary

Join Antenna, a data and analytics startup, as a Senior Data Analyst on our Data Operations team. You will ensure the timely and accurate delivery of data to internal stakeholders and customers. Partner with the commercial team to understand customer data usage and build high-quality data solutions. Collaborate with various teams, including Data Science, Engineering, and Insight Analysts, and directly with clients. You will report to the Director, Data Operations. Antenna is remote-first and welcomes applicants from anywhere in the United States. The role involves analyzing large datasets, resolving data quality issues, developing QA efficiencies, and supporting the launch of new data solutions.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

Experience with process automation, leveraging tools such as Python or R for data manipulation and delivery

Benefits

• The expected compensation for this role is an annual salary range of $100,000 - $130,000
• Company equity
• Remote-first