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.
Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA
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'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
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 We Offer:
- 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.
The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate’s qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub’s total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits.
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