Seatgeek - New York, NY

posted about 2 months ago

Full-time - Mid Level
Remote - New York, NY
Performing Arts, Spectator Sports, and Related Industries

About the position

SeatGeek is seeking an Analytics Engineering Tech Lead to join our Analytics team, which serves as the primary partner for our business's data management and insight generation needs. In this role, you will be responsible for owning the strategic vision for our data warehouse, working cross-functionally to bring that vision to fruition. Your responsibilities will include defining long-term projects aimed at enhancing warehouse performance and utility, overseeing their execution from inception to completion, and ensuring alignment with business objectives while fostering a collaborative team environment. Your work will be pivotal in driving SeatGeek's mission to become the top destination for live event attendees by placing data at the core of our operations. The data warehouse has been integral to our Data team for nearly a decade, and as early adopters of technologies like Redshift, Looker, and dbt, our business intelligence stack is both technically advanced and user-friendly. As SeatGeek continues to grow, it is essential for leaders and operators across the organization to have access to clean, actionable metrics and feedback loops that facilitate company-defining decisions. If you are someone who believes in the power of data, enjoys optimizing processes, and takes pleasure in helping colleagues enhance their performance, you are the ideal candidate to build upon our solid foundation and propel us to new heights.

Responsibilities

  • Own the product vision for our data warehouse and collaborate to develop new features that enhance its intuitiveness and efficiency for end users.
  • Ensure the smooth operation of our data warehouse by utilizing and improving existing monitoring tools to enhance our data warehouse and Looker KPIs.
  • Communicate and collaborate with various stakeholders, including Data Scientists, Analysts, Data Platform Engineers, and the Product team, to implement best practices for managing data quality.
  • Create clear definitions and documentation of our data sources to establish ownership.
  • Work closely with data scientists to develop efficient data modeling solutions.
  • Manage third-party data vendor relationships, such as mParticle, Mixpanel, and Looker.

Requirements

  • 5 - 10 years of relevant experience with a proven 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 and proficiency in programming with Python.
  • Experience in developing new metrics and analyzing large datasets.
  • Experience in building reports and dashboards using business intelligence tools.
  • Familiarity with dbt.

Nice-to-haves

  • Experience with scheduling/orchestration tools like Airflow.
  • Familiarity with ETL tools such as Fivetran, Python, dbt, and Kafka.
  • Experience with data warehousing solutions, particularly Redshift.
  • Knowledge of event streaming technologies like mParticle.
  • Experience with experimentation tools like Optimizely.
  • Familiarity with dashboarding tools such as Looker, Hex, and Mixpanel.
  • Experience with code versioning using Gitlab.

Benefits

  • Equity stake
  • Flexible work environment, allowing for remote work or in-office days as preferred
  • A WFH stipend to support home office setup
  • Unlimited PTO
  • Up to 16 weeks of paid family leave
  • 401(k) matching program
  • Health, vision, dental, and life insurance
  • Up to $25k towards family building services
  • $500 per year for wellness expenses
  • Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
  • $120 per month to spend on tickets to live events
  • Annual subscription to Spotify, Apple Music, or Amazon music
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