We’re looking for a Data Analyst to help support our customers by delivering best-in-class insights. In this role, you will be the front line of transforming our data into useful insights. You will interface directly with our data team on the one hand and our customers on the other. You will help our customers understand where they are succeeding – and where they can improve.

As a remote empathetic company, Antenna is remote-first and welcomes applicants from anywhere in the United States.

What You’ll Do

• Support our customers in understanding the value of Antenna subscriber metrics. To do this, you will need to:
• Develop an intimate understanding of subscriber growth, retention, and churn for each subscription business.
• Use our proprietary interface to analyze subscribers by service, distributor, plan, user cohort, and other data needs from our customers.
• Develop and analyze key subscriber cohorts across subscription businesses.
• Build customer reports that showcase a compelling story about relevant and timely metrics.
• Utilize analytical and technical skills to extract insights from Antenna data. This includes:
• Running custom queries to uncover interesting stories in subscriber trends.
• Audit data for any inconsistencies and mine for solutions.
• Collaborate with data engineering and data science teams to launch new products and services.

Who You Are

• Strong knowledge and experience with SQL and Excel (2+ years)
• Strong knowledge and experience in using business intelligence tools (e.g. Looker, Redash).
• Strong data QA, pattern recognition, and error auditing skills.
• Able to organize and analyze large amounts of information with great attention to detail and accuracy.
• Able to present insights in a clear and compelling way via custom presentations or in writing.
• A self-starter who is successful in rapidly changing environments where priorities shift often.    
• Bonus: interested in the subscription economy and how data can help inform customer decision making.
• Bonus: experience working with complex ETL systems or data science models.