Senior Analytics Engineer
New York, New York, United States
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
Full Time Senior-level / Expert USD 200K - 300K
StubHub
Buy and sell sports tickets, concert tickets, theater tickets and Broadway tickets on StubHub!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’re rebuilding our data foundation from the ground up - and we’re looking for a Senior Analytics Engineer who thrives at the intersection of data infrastructure, business context, and cross-functional collaboration. If you're excited by the idea of owning foundational systems that will power pricing, personalization, experimentation, and more—this role is for you.
Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA
About the Team:
As a Senior Analytics Engineer at StubHub, you’ll be a force multiplier for the entire company. You’ll build scalable data products and frameworks that empower analysts, data scientists, and business leaders to make better, faster decisions. You'll bring order to chaos, anticipate data needs before they arise, and partner with stakeholders across engineering, product, and business teams to help us unlock the full value of our data.
What You'll Do:
- Own the development of cross-functional data models, core business metrics, and self-service dashboards/tools.
- Build, document, and maintain robust data pipelines using tools like dbt, Airflow, Snowflake, BigQuery, or Databricks.
- Anticipate and solve common data access patterns across product, marketing, finance, and operations teams.
- Partner closely with data scientists, analysts, and software engineers—often serving as the bridge between product needs and data infrastructure.
- Define and scale analytical frameworks that support experimentation, decision-making, and business health monitoring.
- Act as a domain expert in one or more business areas (e.g., pricing, supply, demand, user growth), becoming a go-to thought partner for leadership.
- Support real-time and batch data workflows, data governance practices, and metadata/catalog tooling.
What You've Done:
- 5 - 10 years of experience in analytics engineering, data engineering, or business intelligence in a fast-paced, high-growth environment.
- Expert SQL skills and strong proficiency in Python (or another programming language like Java).
- Hands-on experience building data pipelines and models with tools like dbt, Airflow, and Snowflake (or equivalent).
- Experience with BI tools such as Looker, Tableau, or Mode, and a strong understanding of enabling self-serve analytics.
- Familiarity with both batch and streaming data processing patterns.
- An ability to translate messy, real-world business problems into elegant, scalable data systems.
- A collaborative mindset with a passion for partnering with non-technical stakeholders to unlock insights and drive impact.
- Familiarity with data governance, observability, and metadata management tools is a plus.
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.
Salary Range$200,000—$300,000 USDAbout Us StubHub is the world’s leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found here We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.Tags: Airflow BigQuery Business Intelligence Databricks Data governance Data pipelines dbt Engineering Finance Java Looker Pipelines Privacy Python Snowflake SQL Streaming Swift Tableau
Perks/benefits: Competitive pay Equity / stock options Flex hours Flex vacation Health care Insurance Parental leave Startup environment Team events Unlimited paid time off
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