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Tech Lead, Analytics Engineering

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Salary

The salary range for this role is $170,000-$230,000.

We are looking for an Analytics Engineering Tech Lead to join SeatGeek’s Analytics team. Analytics is the go-to partner for our business’s needs around data management and insight generation. As Tech Lead, you will own the strategic vision for our data warehouse and be responsible for working cross-functionally to bring that vision to life. You will define long-term projects aimed at improving warehouse performance and utility, oversee their execution from start to finish, and ensure they align with business objectives while cultivating a collaborative team environment. You will work with managers to improve existing processes aimed at keeping our technical bar high. Above all, your work will drive us toward our mission of making SeatGeek the top destination for live event goers by putting data at the heart of everything we do.

SeatGeek's data warehouse has been at the core of our Data team for the better part of a decade, and as early adopters of Redshift, Looker, and dbt, our business intelligence stack is technically mature and easy to work with. As SeatGeek continues its growth, leaders and operators across the business will need clean, actionable metrics and feedback loops to make company-defining decisions. If you're somebody who knows that you optimize what you measure, if you believe in the power of good data, if you get delight from helping your coworkers do their jobs better, and if you have strong opinions on how data can make that happen, then you're the right person to take our solid foundation and build to the stars.

What you’ll do

  • Own the product vision for our data warehouse. Collaborate to develop new features that render our warehouse more intuitive and efficient for end users
  • Ensure our data warehouse runs smoothly. Use and improve existing monitoring tools in order to improve our data warehouse and Looker KPIs
  • Communicate and collaborate with different stakeholders, like Data Scientists, Analysts, Data Platform Engineers, and our Product team to institute best practices aimed at managing data quality
  • Create definitions and documentation of our data sources, making ownership crystal clear
  • Work closely with data scientists to build efficient data modeling solutions
  • Own third-party data vendor management, e.g. mParticle, Mixpanel, Looker

What you have

  • 5 - 10 years of relevant experience with a track record of technical leadership in Analytics or Data Engineering
  • A bachelor’s degree or higher in economics, psychology, computer science, statistics, mathematics or another quantitative discipline
  • Expert-level knowledge of SQL. Proficiency in programming with Python
  • Experience developing new metrics and performing analysis with large datasets
  • Experience building reports and dashboards using business intelligence tools
  • Familiarity with dbt

Our stack

  • Scheduling/Orchestration: Airflow
  • ETL: Fivetran, Python, dbt, & Kafka
  • Data Warehouse: Redshift
  • Event Stream: mParticle
  • Experimentation: Optimizely
  • Dashboarding: Looker, Hex, & Mixpanel
  • Code versioning: Gitlab
  • Required languages: SQL and Python

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