Our mission is to make buying online faster, safer and easier for everyone. Fast Login and Fast Checkout enable a one-click sign-in and purchasing experience that makes it easier for people to buy and merchants to sell. The company’s products work on any browser, device or platform to deliver a consistent, stress-free purchasing experience. Fast is entirely consumer-focused and invests heavily in its users’ privacy and data security. Headquartered in San Francisco but open to a globally remote workforce, we are a founders-led, privately held company funded by Stripe, Index Ventures, Susa Ventures and other world-class investors.

We are committed to diversity and inclusion, and demonstrate our values through equitable pay, fantastic benefits, and access to all reasonable accommodations. 

The Payment Operations & Risk (POR) team at Fast strives daily to build and operate a world-class payment processing platform free of payment failures and fraud, and as reliable as clockwork for both buyers and sellers engaged in e-commerce across the Internet. Our team is searching for an experienced Data Analyst to help us achieve our mission. This will be a high-impact role ensuring that the Payment Operations & Risk team has world-class data reporting, visualization, and modeling. If you’re passionate about payments, enjoy working with big data, and want to help build a culture of data-centric business decisioning, then this role is for you! Come join us as we upgrade the internet by creating a new, frictionless online checkout experience.

Role

• Conduct data analysis to make business recommendations and evaluate business performance (e.g. payment decline rate analysis, 3rd party vendor efficacy, downstream effects of product/feature changes, etc.)
• Produce interactive visualizations and dashboards to support payment operations in lieu of ad hoc analysis
• Build and ultimately automate reports to surface topline metrics to key stakeholders
• Build and maintain LookML data layers to define and structure payments data
• Collaborate with stakeholders to formulate and complete full cycle analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations
• Partner with Data Science team as a POR stakeholder and subject matter expert

Qualifications

• Bachelor's Degree or equivalent practical experience 
• Experience working in Risk, Fraud, or Payments space
• 3 years of experience with data analysis, working with databases, and querying (e.g., SQL, MySQL, Snowflake)
• 2 years of experience working with statistical packages (e.g. R, pandas, SAS, Stata, etc.)

Preferred Qualifications

• Bachelor’s or Master’s degree in Statistics, Economics, Data Science or other quantitative fields
• Experience with BI and visualization tools (e.g., Looker, Tableau, Mode)
• Experience working cross functionally, particularly with Product and Eng teams
• Experience with process and reporting automation
• Ability to support and consult business leaders in their data analytics/visualization/modeling needs
• Interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation

Comprehensive insurance (paid 99% by the company) with no deductible, and 10 dollar copays

Globally remote with flexible work schedules to fit your needs

Generous paid parental/family leave for all caregivers- up to 12 weeks

401k with match up to 4%

Equity grant

People-focused PTO that you determine- time off is there when you want it, when you need it

Frequent inclusive events scheduled to allow everyone to express their voice (or dance skills)

Monthly exercise and internet stipends---and snacks