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Analytics Engineer II

StubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere.
$175,000 - $230,000
Data
Mid-Level Software Engineer
Hybrid
3+ years of experience
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Description For Analytics Engineer II

StubHub is on a mission to redefine the live event experience on a global scale. We are seeking talented analytics engineers from mid to senior levels to join StubHub's Data Engineering & Analytics organization. In this role, you will be responsible for scaling both analytic products (data assets, dashboards, tools/services) and analytic frameworks (decision frameworks, metrics, analytical models). You will be a "force multiplier" who significantly improves and speeds up StubHub's ability to make great data-informed decisions.

This position is a hybrid role, 2 days remote and 3 days in-office per week, situated in Los Angeles, CA.

The Analytics Engineering team exists to enable robust data-informed decision making that steers our business growth goals, through the creation of high-quality data products and scaled insights. We help solve the scale problems and common data access patterns encountered by analysts, data scientists, and other business data consumers.

What You'll Do:

  • Manage cross-functional analytical data models, metric frameworks and implementations, and self-serve dashboards/tools
  • Specialize in one or more business domains, building deep expertise and anticipating the needs of that business vertical
  • Collaborate cross-functionally with business and product teams while simultaneously "speaking the language" of engineering teams, often acting as a proxy for one or the other

What We Offer:

  • Accelerated Growth Environment
  • Top Tier Compensation Package
  • Flexible Time Off
  • Comprehensive Benefits Package
  • Team-Building Events

Join our team for a front-row seat to the action in the world's leading marketplace for live event tickets!

Last updated 10 months ago

Responsibilities For Analytics Engineer II

  • Manage cross-functional analytical data models, metric frameworks and implementations, and self-serve dashboards/tools
  • Specialize in one or more business domains, building deep expertise and anticipating the needs of that business vertical
  • Collaborate cross-functionally with business and product teams while simultaneously 'speaking the language' of engineering teams, often acting as proxy for one or the other

Requirements For Analytics Engineer II

Python
Java
  • 3-5 years of relevant analytics engineering, data engineering, or business intelligence experience in a fast-paced, high growth environment
  • Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g. SparkSQL, BigQuery, Snowflake, Databricks)
  • High proficiency with SQL and experience with one or more programming languages (e.g. Python, Java) and markup/configuration languages (e.g. YAML)
  • Proficiency in building data models and pipelines using orchestration software (e.g. Airflow, dbt)
  • Experience building reports/dashboards with business intelligence (BI) tools, such as Tableau and Looker
  • Exposure to both batch data processing and real-time streaming technologies
  • Familiarity with data cataloging and metadata management tools
  • Passionate about working with non-technical stakeholders to understand, anticipate, and deliver on their data needs

Benefits For Analytics Engineer II

Equity
401k
Medical Insurance
Vision Insurance
Dental Insurance
  • Accelerated Growth Environment
  • Top Tier Compensation Package
  • Flexible Time Off
  • Comprehensive Benefits Package
  • Team-Building Events

Interested in this job?