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Analytics Engineer II

StubHub LogoStubHub
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Salary

The anticipated gross annual base salary range for this role is $175,000 – $230,000 per year.

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.

About the Team:

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. Analytics Engineering helps solve the scale problems and common data access patterns encountered by analysts, data scientists, and other business data consumers. All data modules and tools owned by AE are then leveraged not only by members of that business domain, but also data consumers from across the company. We are looking for the right person who can operate and translate across all parts of the business.

What you've done:

  • 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

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, oftentimes acting as proxy for one or the other

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