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.
Together we keep the world cheering.
The Role
AXS’s Business Intelligence and Strategy team has built a foundation for strategic analyses and reporting through our internal BI platform (Looker) and other products our clients and partners use for insights every day.
We’re looking for a Manager of Analytics Engineering who will lead a growing team as we scale those offerings and continue to build meaningful insights for the business.
This role will work directly with AXS leadership as well as clients and partners in the US and abroad (Europe and Japan).
What You’ll Do
Lead a growing Analytics Engineering team which builds the foundation for many key initiatives across AXS Leverage engineering methods and best practices to deliver well-defined, tested, documented, and code-reviewed data sets Work with Data Science, Data Engineering, Business Intelligence, and Product to understand and guide the data underlying our metrics Provide thought leadership in defining models such as marketing attribution, pricing and inventory optimization, and customer affinity Work across functions in the organization and with clients and partners to understand and address their data & analysis needs Help define strategy, best practices, and the roadmap for Analytics Engineering at AXS Drive complex problems through to solutions Work closely with Data Science team to identify and integrate new data sources
What to Bring
5+ years of hands-on experience working with data 2+ years of engineering management experience (or related) with a proven ability to build high performing teams and lead complex technical initiatives Solid understanding of best practices with data (hygiene, modeling, testing, monitoring) Technically proficient; this role works in Git, Snowflake, dbt, SQL, and LookML Enjoy helping others grow, whether on your team (managing / mentoring) or within the organization Willingness to adapt to a fast-paced work environment; hack, test and learn mentality; team player Experience with pricing and inventory analyses a plus Experience with python a plus (we use Airflow for orchestration) Structured thinker with strong organizational and communication skills Initiative taker who finds creative and scalable ways to solve problems