Senior Analytics Engineer
Company: StubHub
Location: Los Angeles
Posted on: October 6, 2024
Job Description:
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 senior level analytics engineers 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 New York, NY.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:
- 5-10 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 needsWhat 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 otherWhat We Offer:
- Accelerated Growth Environment: Immerse yourself in 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: Enjoy a rewarding compensation
package that includes enticing stock incentives, aligning with our
commitment to recognizing and valuing your contributions.
- 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.
- Team-Building Events: Engage in vibrant team events that foster
camaraderie and collaboration, creating an atmosphere where your
professional and personal growth are celebrated.The anticipated
gross annual base salary range for this role is $200,000 - $275,000
per year. 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 also
includes equity, 401(k), paid time off, paid parental leave, and
comprehensive health benefits.About UsStubHub 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 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.
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Keywords: StubHub, Placentia , Senior Analytics Engineer, Engineering , Los Angeles, California
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