Analytics Engineer

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we’ve consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.

We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment.

The Role

We are looking for a Analytics Engineer to join our Analytics Engineering team. The Analytics Engineer will be responsible for building, testing & maintaining clean &  usable data sets. They will collaborate with data engineers & data analysts to prepare data for analysis & help ensure that the data is accurate, complete & up-to-date. They will also conduct data analysis & mining to extract insights & guide strategic planning for the organization.

What you will do 

• Build dbt data models that power our data products.
• Gather requirements from the business &/or other teams that are part of the Data Pod.
• Deliver accurate data & insights to BI, Marketing & leadership.
• Work with rETL tools (e.g., Hightouch) to sync data to SaaS applications.
• Work with the Manager of Analytics Engineering to understand and support team’s quarterly & yearly roadmaps.
• Work with Sr. Analytics Engineers to find efficient solutions to complex problems.

What we hope you will bring 

• 2-4 years of hands-on experience working with data professionally
• Experience building data models
• Comfort with SQL, dbt, Snowflake & Redshift
• Technically proficient; this role works in Git, Snowflake, dbt, SQL, Fivetran, AWS Redshift & Navicat.
• Ability to to collaborate with other teams that are part of the Data Pod (e.g., Data Engineering, BI, etc.).
• Experience with pricing and inventory analyses a plus
• Experience with Fivetran, CDPs, Hightouch & SFMC a plus
• Experience with Python a plus
• Solid understanding of best practices with data.
• Team player & efficient worker.
• Comfortable reporting on KPIs.
• Action-oriented.

Pay scale: $115,800-$127,905.00

What’s in it for You?

• A highly visible role where you will be working with stakeholders across the business 
• Extraordinary People – we’re not kidding!
• Modern data analytics
• Meaningful Mission - Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
• Opportunities for learning and leveling up through training and education reimbursement.