Analytics Engineer

Job Description

• Join a team of Analytics Engineers that will develop data pipelines and use SQL- and Python-based ETL frameworks to acquire, process, and deliver data to consumers around SeatGeek • Communicate and collaborate with different stakeholders, like Data Scientists, Analysts, Data Platform Engineers, and Software Engineers to understand data use cases and product requirements for R&D teams • Implement cataloging best practices and lead the definition, collection, documentation of our data sources. Invest in end-user data literacy through hands-on training with folks around the company • Architect and thoroughly QA performant data models that enable analysis in a data warehouse setting • Assist in triaging and debugging on-call requests in a rotational on-call schedule with the Analytics Engineering team

Qualifications

• 3+ years of relevant experience in Analytics, Data, or Software Engineering • Experience with dbt is a plus • 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 cleaning data sets, developing new models and interfacing with stakeholders to understand business requirements

Benefits

• 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 • Annual subscriptions to Headspace, Ginger.io, and One Medical • $120 a month to spend on tickets to live events • Annual subscription to Spotify, Apple Music, or Amazon music