Risk Decision Data Analyst

The Risk pillar is a high-performing, multi-disciplinary technical development collection of teams that includes data analysts, data scientists, product managers, and engineers. We work together toward the common goal of making Eventbrite the trusted marketplace for live experiences. We collaborate with product teams across the companies to control payment, content publication, and account security risks. Working in an ever-changing threat landscape, we are vigilant for emerging problems. We strive to build solutions through collaboration, building for flexibility, while staying focused on innovative solutions to these complex problems.

THE ROLE

You will design, implement, and track the risk prevention policies at the center of our risk detection and mitigation strategy. You will work with policy and operations experts to understand the details of what’s working well and where we have opportunities to fill gaps. You will drive analytical efforts to source data from Eventbrite’s wide variety of product features, and then leverage it to design effective, low friction policies. You will collaborate with colleagues in engineering to use our in-house decisioning platform to quickly design, test, and ship data-driven rules, and to implement improvements to that platform to move faster. You’ll work with data scientists to leverage and collaborate on improving machine learning and AI models. You will partner with other analytical teams to track the impact on the business as a whole.

THE SKILL SET

•       Proven ability to research and design data-driven policies, and to communicate findings to non-technical audiences including cross-functional decision makers
•       Expertise with SQL including experience working in complex data environments (>2 years) with experience developing monitoring and dashboards, including design and maintenance of data transformations using tools            such as DBT
•       Command of a set of practical statistical analysis packages including pandas, Microsoft Excel, and/or similar tools to perform predictive analysis
•       Experience with data processing and scripting in Python including comfort with version control tools (e.g. git) and test-driven development (>2 years)
•       Collaborative mindset and interest in gaining domain expertise in payments, content moderation, and risk prevention spaces

BONUS POINTS

•     Direct experience in an anti-abuse space such as fraud, spam, content policy, or trust and safety
•     Experience working closely with machine learning and AI-driven teams and associated knowledge of statistics
•     Active Eventbrite user with a passion for live events