SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.

We are looking for an Analytics Engineering Tech Lead to join SeatGeek’s Analytics team. Analytics is the go-to partner for our business’s needs around data management and insight generation. As Tech Lead, you will own the strategic vision for our data warehouse and be responsible for working cross-functionally to bring that vision to life. You will define long-term projects aimed at improving warehouse performance and utility, oversee their execution from start to finish, and ensure they align with business objectives while cultivating a collaborative team environment. You will work with managers to improve existing processes aimed at keeping our technical bar high. Above all, your work will drive us toward our mission of making SeatGeek the top destination for live event goers by putting data at the heart of everything we do.

SeatGeeks data warehouse has been at the core of our Data team for the better part of a decade, and as early adopters of Redshift, Looker, and dbt, our business intelligence stack is technically mature and easy to work with. As SeatGeek continues its growth, leaders and operators across the business will need clean, actionable metrics and feedback loops to make company-defining decisions. If youre somebody who knows that you optimize what you measure, if you believe in the power of good data, if you get delight from helping your coworkers do their jobs better, and if you have strong opinions on how data can make that happen, then youre the right person to take our solid foundation and build to the stars.

What you’ll do

Own the product vision for our data warehouse. Collaborate to develop new features that render our warehouse more intuitive and efficient for end users
Ensure our data warehouse runs smoothly. Use and improve existing monitoring tools in order to improve our data warehouse and Looker KPIs
Communicate and collaborate with different stakeholders, like Data Scientists, Analysts, Data Platform Engineers, and our Product team to institute best practices aimed at managing data quality
Create definitions and documentation of our data sources, making ownership crystal clear
Work closely with data scientists to build efficient data modeling solutions
Own third-party data vendor management, e.g. mParticle, Mixpanel, Looker

What you have

5 - 10 years of relevant experience with a track record of technical leadership in Analytics or Data Engineering
A bachelor’s degree or higher in economics, psychology, computer science, statistics, mathematics or another quantitative discipline
Expert-level knowledge of SQL. Proficiency in programming with Python
Experience developing new metrics and performing analysis with large datasets
Experience building reports and dashboards using business intelligence tools
Familiarity with dbt

Our stack

Scheduling/Orchestration: Airflow
ETL: Fivetran, Python, dbt, & Kafka
Data Warehouse: Redshift
Event Stream: mParticle
Experimentation: Optimizely
Dashboarding: Looker, Hex, & Mixpanel
Code versioning: Gitlab
Required languages: SQL and Python

Perks

Equity stake
Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
A WFH stipend to support your home office setup
Unlimited PTO
Up to 16 weeks of paid family leave
401(k) matching program
Health, vision, dental, and life insurance
Up to $25k towards family building services
$500 per year for wellness expenses
Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
$120 per month to spend on tickets to live events
Annual subscription to Spotify, Apple Music, or Amazon music

The salary range for this role is $170,000-$230,000. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.

SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!

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