Senior Data Analyst, Marketing

October 21

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SeatGeek

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eCommerce • Entertainment • Sports

SeatGeek is a mobile-focused ticket platform that allows users to buy and sell tickets for live events such as sports, concerts, and theater performances. With an easy-to-use interface, SeatGeek integrates event listings, ticket purchasing, and resale in one place. The platform enhances the user's experience by offering personalized recommendations and insights into event trends. Furthermore, SeatGeek provides a comprehensive array of listings for major sports, music, and entertainment events, positioning itself as a go-to source for fans seeking tickets. The company's operations and offerings emphasize a seamless experience in accessing and enjoying live entertainment.

501 - 1000 employees

Founded 2009

🛍️ eCommerce

⚽ Sports

💰 $238M Series E on 2022-08

📋 Description

• Own our business relationship with stakeholders on the Marketing team, understanding their objectives and aligning our scope of work to achieve those goals • Develop our understanding of customers through the synthesis and interpretation of existing and novel data sources and contribute to building our Customer feature store (including model predictions and segments) • Monitor key performance drivers and communicate the root causes of changes in channels efficiency • Advance our channel attribution methodologies • Assist with designing a robust experimentation plan, including incrementality tests (leveraging geo-based experimental design where required) and communicate actionable learnings and recommendations to marketing teams • Conduct exploratory analysis to identify pockets of under-performance and optimisation levers for our SEM bidding strategy • Work closely with data engineers to build lasting data modeling solutions, including automating analyses and authoring pipelines via SQL-based ETL frameworks

🎯 Requirements

• 4+ years of relevant experience • A degree or higher in economics, psychology, computer science, statistics, mathematics or another quantitative discipline • Expert-level knowledge of SQL • Experience performing analysis with large datasets • Experience building reports and dashboards using business intelligence tools • A track record of influencing business strategy with data • A strong statistical understanding of online testing methodologies and metric development • Proficiency in a scripting language (Python or R) - nice to have • Domain expertise or past experience in marketing - nice to have

🏖️ 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 fully-paid family leave • 401(k) matching program • Student loan support resources • Health, vision, dental, and life insurance • Up to $25k towards family building and reproductive health services • Gender-affirming care support program • $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