Senior Data Analyst, Supply Product

Partnering closely with our Money Movement team, you will drive business impact through (among other things): 

• Developing reporting frameworks and metrics that help determine incremental revenue made by launching different features
• Coordinating with Product, Engineering and Analytics Engineering to implement and measure the success of a new Account Credit payment method
• Measuring the impact of adding payment methods on conversion and how it impacts our take rate 
• Proactively identifying opportunities to improve our payment unit economics and product experience based on historical trends
• Evaluating expected impact of different partnership opportunities to influence business decision-making

As a member of SeatGeek’s analytics team, you will be able to collaborate with and learn from a group of high-performing analysts, data scientists, and engineers!

What you'll do

• Join a team of Data Analysts that influences the directions in which we push our Supply product as we seek to create even greater value for our customers over time
• Define, evaluate, and monitor key metrics, understanding the root causes of changes, and proactively surface insights to Money Movement leadership
• Perform A/B test analysis in partnership with the Checkout Product Team within our existing suite of tools and platforms. Deep dive into results to gather insights to shape the experimentation roadmap
• Conduct exploratory analysis to identify areas to optimize our payment options and influence customers towards certain payment methods
• Measure how different costs factor into our net take and work closely with Supply Product teams to identify areas that we could improve
• Work closely with data and product team stakeholders to build lasting data modeling solutions, including automating analyses and authoring pipelines via SQL-based ETL frameworks
• Communicate key learnings and recommendations to product teams in a manner that productively influences decision making

What you have

• 4+ years of relevant experience
• A degree or higher in economics, computer science, statistics, mathematics, psychology, or another quantitative discipline
• Expert-level knowledge of SQL
• Experience performing analysis with large datasets
• Experience building reports and dashboards using business intelligence tools
• An understanding of online testing methodologies and metric development
• Proficiency in a scripting language (Python or R) is a plus
• Domain expertise in payments and complex revenue metrics is a plus

Our stack

• Data Warehouse: Redshift
• Event Stream: mParticle
• Experimentation: Eppo
• Dashboarding: Looker & Hex
• Code versioning: Gitlab
• Scheduling/Orchestration: Airflow
• ETL: Fivetran, Python and dbt
• Required languages: SQL and Python

Perks

• 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

The salary range for this role is $108,000 - $157,000 USD. This role is also equity eligible. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.