Risk Data Analyst, Staff
BILL · United States
Job Description
Innovate with purpose At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations. And we don’t stop there: we’re creating the future of financial automation so businesses can spend more time on what matters. Working here means you become part of a vision-driven team that’s ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosity—and we thrive in a fast-paced, ever-changing environment. Whether in one of our offices in San Jose, CA, Draper, UT, or in a remote-eligible role, BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks. BILL builds high performing teams and we seek to hire the best talent for every role. We're committed to building a workplace that fosters inclusion and diverse perspectives, valuing each person’s unique skills and experiences. We’d love to hear from you—you might be just what we’re looking for, whether in this role or another. ✨ Let’s give businesses more time for what matters. Make your impact within a rapidly growing Fintech Company We are seeking an experienced Risk Data Analyst to join the Risk Portfolio Management team. This team develops data-driven strategies and insights that strengthen BILL’s risk operations and protect the integrity of its payment platform. In this role, you will build data models, analyze risk trends, and deliver actionable insights that support the detection and prevention of fraudulent transactions—helping protect BILL’s customers while enabling safe, trusted growth. Responsibilities:
- Consolidate data from multiple source systems into complete, accurate, and consistent Risk Operations data models
- Create intuitive, actionable, and automated reports and Tableau dashboards
- Synthesize and present data into actionable insights and data stories that drive incremental value for BILL, the Risk Operations team, and BILL’s customers
- Develop strong partnership and collaboration with Risk Operations leaders
- Gather requirements, prioritize requests, and manage analytics roadmap for Risk Operations team
- Bachelor's degree in Math, Statistics, Economics, or another technical field
- 8 years of experience in analytics and/or data science (or 5+ years of experience w/ Master’s Degree)
- Extensive experience and advanced knowledge of engineering SQL pipelines (dbt experience a huge plus)
- Proficiency in business intelligence tools for dashboard and report creation, preferably Tableau
- Proven ability to synthesize data into actionable insights and present data stories to business leaders
- Experience working with data generated from fraud and risk platforms (e.g. DataVisor, etc.) as well as CRM platforms (Salesforce, Zendesk, etc.)
$159,200—$191,052 USD
Zone 2: CA (Non San Francisco Bay Area and Los Angeles County), Austin TX, Massachusetts$143,300—$171,900 USD
Zone 3: Utah (includes Utah office), Dallas TX, Houston TX, Florida, North Carolina, Illinois, Colorado, Arizona, Georgia, Oregon, Pennsylvania$135,300—$162,400 USD
What’s in it for you? Redefining how businesses automate their work is a fast-paced, exciting, and fun environment. But we also have benefits and perks to ensure the magic isn’t only experienced by our customers, but by our employees as well. Here is a preview of some of the amazing benefits here at BILL:- 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP)
- HSA & FSA accounts
- Life Insurance, Long & Short-term disability coverage
- Employee Assistance Program (EAP)
- 11+ Observed holidays and wellness days and flexible time off
- Employee Stock Purchase Program with employee discounts
- Wellness & Fitness initiatives
- Employee recognition and referral programs
- And much more
Details
| Company | BILL |
| Location | United States |
| Type | FULL TIME |
| Niche | finance |
| Experience | full-time |
