Senior Analytics Engineer

We’re always looking for bright, entrepreneurial and fun people to help us grow!

AXS is a company whose core values reflect a culture that celebrates individual differences, collective achievements, and respect of one another. We start small and are never afraid to try (Be The Spark). We believe open, honest, and proactive communication builds trust and empowers us to be our best (Make it Personal). We handle our problems constructively and together (Be Real). We go above and beyond to build something truly special and lasting (Bring Your ‘A’ Game). Most importantly, we celebrate and communicate our success by recognizing each other across all teams and levels of our organization (Pat The Back).

Our culture is a representation of who we are now, and who we aspire to be in the future. If you are looking for a fast-paced environment where collaboration, accountability and visibility enable you to make a difference every day, then AXS may be a perfect match.

The Role

AXS’s Business Intelligence and Strategy team has built a foundation for strategic analyses and reporting used by internal users as well as clients and partners every day. Together with data engineering, we make sure AXS and our clients and partners are able to extract value from our data, whether that’s traditional BI (reporting and visualizations), data products, or integrations and services. We’re looking for a Sr Analytics Engineer who will contribute in a growing team as we scale those offerings and continue to build meaningful insights for the business. This role will work directly with AXS data leadership as well as clients and partners in the US and abroad (Europe and Japan). Our stack is Redshift / Snowflake / Fivetran / dbt / Looker.

What you will do

Build the data models that power our products, from hygiene to governance to marketing and scoring models
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
Work with Fivetran to ingest new data sources into the data warehouse
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 we hope you will bring

3+ years of hands-on experience working with data
1+ years with dbt will set you apart
Solid understanding of best practices with data (hygiene, modeling, testing, monitoring)
Experience defining core data models (core business, marketing, finance, etc)
Technically proficient; this role works in Git, Snowflake, dbt, SQL, and LookML
Willingness to adapt to a fast-paced work environment; hack, test and learn mentality; team player

Bonus points if you have

Experience with python a plus (we use Airflow for orchestration)
Experience in Javascript a plus (Analytics Engineering also instruments Web Analytics)
Structured thinker with strong organizational and communication skills
Initiative taker who finds creative and scalable ways to solve problems

What’s in it for You?

A highly visible and strategic role where you will be working with stakeholders across the business, and directly with our sports and music clients
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.

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