SeatGeek is looking to optimize millions of dollars of Marketing spend by leveraging advanced analytics methods and building upon a deep understanding of customer behaviors, interests and preferences.
Requirements
- Expert-level knowledge of SQL
- Experience performing analysis with large datasets
- Experience building reports and dashboards using business intelligence tools
- A strong statistical understanding of online testing methodologies and metric development
- Proficiency in a scripting language (Python or R) - nice to have
- Required languages: SQL and Python
Responsibilities
- Developing a holistic view of Marketing channels efficiency, based on an optimal sales attribution logic, robust experimentations / incrementality testing and CLV predictions
- Optimizing our SEM bidding to fuel customer acquisition or maximize ROI (for example, through identifying valuable new bidding signals and better understanding the interactions with inventory, pricing and product)
- Creating custom audiences to improve the relevance & effectiveness of our Marketing touchpoints and enhance customer engagement (in CRM, SEM, Social Media)
- 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
Other
- 4+ years of relevant experience
- A degree or higher in economics, psychology, computer science, statistics, mathematics or another quantitative discipline
- A track record of influencing business strategy with data
- Domain expertise or past experience in marketing - nice to have
- The salary range for this role is $105,000 - $147,000 USD.
