SeatGeek
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 a Senior Marketing Data Analyst to join our Marketing Sciences team and contribute to continuously optimizing millions of dollars of Marketing spend, leveraging advanced analytics methods and building upon a deep understanding of customers behaviors, interests and preferences. Partnering closely with our Marketing Leads, you will guide Marketing investment decisions and drive Business impact through (among other things):
- 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)
- Continuing to drive a customer centric mindset within the organization, through sharing insights with our leadership team into customers behaviors and experiences
- 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
- 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
- Scheduling/Orchestration: Airflow
- ETL: Fivetran, Python and dbt
- Data Warehouse: Redshift
- Event Stream: mParticle
- Experimentation: Optimizely
- Dashboarding: Looker & Hex
- Code versioning: Gitlab
- Required languages: SQL and Python
- 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