Business Analyst - Trust, Safety, and Fraud Analytics

Rover.com • Seattle, WA

5h • Hybrid

About The Position

Rover is seeking a Business Analyst to partner closely with Rover’s Infosec team and Trust and Safety Leadership team, driving initiatives that make Rover a safer community for pet parents and sitters. This is a high-visibility role where you will collaborate directly with a diverse set of stakeholders to define, measure, and improve the success of Rover’s Fraud program. You will be responsible for conducting in-depth analysis of new and developing fraud trends, which includes proactively identifying issues and then developing and proposing actionable solutions. This role requires a unique skillset: the ideal candidate must be comfortable translating ambiguous business problems into crisp requirements, and then using those to build creative data products that meet niche business needs. You should be a natural builder - someone who is passionate about starting from ground zero and building a highly effective analytical program with relative autonomy.

Requirements

• At least 4 years experience working cross-functionally with complex datasets to support organizational decision making.
• Excellent verbal and written communication skills. Specifically, you know how to narrate analysis and results to business partners in a useful, concise, and meaningful way.
• You have a passion for developing and embracing new ways of working using AI tools, with a strong desire to automate mundane tasks and develop more efficient analytical / technical workflows.
• You are extremely comfortable with receiving stakeholder questions and independently translating them into clear, actionable analytical problems to solve, all with relative autonomy.
• You have 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.)
• Strong proficiency with SQL.
• You would feel confident reviewing code produced by other analysts and data scientists

Nice To Haves

• Masters degree in a quantitative field OR on the job experience with applied statistics.
• Ability to code in Python/R is a plus
• Prior experience performing advanced fraud analytics within the technology sector.
• Experience with the development and optimization of machine learning models
• Hands on experience using AI tools (Claude Code, Codex, etc) daily to simplify analytical work
• Hands-on experience working with customer service tool data (e.g., Zendesk)
• Hands-on experience running A/B tests and experiment design

Responsibilities

• Partner with Fraud leadership to define the strategy for measuring program health, operational performance, and magnitude of Fraud’s impact on our business. This includes establishing comprehensive metrics , developing crisp reporting, and setting up monitoring rhythms .
• Conduct in-depth analysis of key Fraud metrics to identify emerging trends and opportunities which will inform deeper research and analytical efforts.
• Develop and improve tooling and models to more effectively identify emerging fraud attacks, empowering the Fraud team to take quicker, more effective action to mitigate fraud across Rover's platform.
• Develop and present crisp narratives resulting from analytics findings and investigations to senior Operations leaders, focusing on both identified problems and proposed solutions.
• Serve as a strategic partner and advisor to business leaders, making data-driven recommendations on investments and optimization strategies within Trust and Safety and Fraud.

Benefits

• Competitive compensation
• 401k
• Flexible PTO
• Competitive benefits package, including medical, dental, and vision insurance
• Commuter benefits
• Bring your dog to work (and unlimited puppy time)
• Doggy benefits, including $1000 toward adopting your first dog
• Stocked fridges, coffee, soda, and lots of treats (for humans and dogs) and free catered lunches semi-monthly
• Regular team activities performed in person and virtually

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed