Senior Data Analyst - Trust, Safety, and Fraud Analytics

Responsibilities

• Partner with Fraud leadership to define the strategy for measuring program health, operational performance, and magnitude of Fraud’s impact on our business.
• Establish comprehensive metrics, develop crisp reporting, and set up monitoring rhythms.
• Conduct in-depth analysis of key Fraud metrics to identify emerging trends and opportunities.
• Develop and refine detection models to more effectively identify emerging fraud attacks.
• Develop and propose actionable solutions to address identified issues.
• Develop and present crisp narratives resulting from analytics findings and investigations to senior Operations leaders.
• Make data-driven recommendations on investments and optimization strategies within Trust and Safety and Fraud.

Qualifications

• At least 4 years experience working cross-functionally with complex datasets to support organizational decision making.
• Excellent verbal and written communication skills.
• Strong proficiency with SQL.
• Hands-on experience building out data abstractions using tools such as DBT or Airflow as well as a variety of data visualization tools (e.g., Mode, Looker, Periscope, Tableau, etc.).
• Specifically, you know how to narrate analysis and results to business partners in a useful, concise, and meaningful way.
• Extremely comfortable with receiving stakeholder questions and independently translating them into clear, actionable analytical problems to solve, all with relative autonomy.
• Experience with the development and optimization of machine learning models.
• Hands-on experience working with customer service tool data (e.g., Zendesk).
• Hands-on experience running A/B tests and experiment design.

Compensation

In the greater Seattle area the first-year salary range is $108,694-$136,046. Additionally, Rover offers benefits to full-time employees.