StubHub-posted 3 months ago
$175,000 - $230,000/Yr
Full-time • Mid Level
New York, NY
1,001-5,000 employees

StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we’re here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. We are seeking talented Analytics Engineer 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. Our current opening is within the Product Experimentation domain; prior experience is preferred. Location: Hybrid (3 days in office/2 days remote) – New York, NY

  • 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
  • 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
  • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
  • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
  • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.
  • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.
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