Tech Lead, Analytics Engineering

September 5

🏡 Remote – New York

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SeatGeek

Help the world experience more live.

tickets • internet and technology • data analysis • and sports • entertainment

501 - 1000

💰 $238M Series E on 2022-08

Description

• 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

Requirements

• 5 - 7 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

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 • 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

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