Pay
$94.7K–$144K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
Senior Product Data Analyst - Payments & Financial Services
United States
Actively hiring, first seen by us 11 days ago- Pay
- Pay not listedSimilar roles state $95K–$144K
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Work authorization
- Must already have the right to work
Please note that this position is not eligible for visa sponsorship
- Eligibility
Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future. — eligibility source
Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.
Read the full posting
What you’ll work on
Full postingSet the Payments analytics agenda and bring opportunities to Product as roadmap recommendations
Define metrics and OKRs, and run a standing review cadence with Product
Run experiments and causal inference to show what moved a metric
Build and maintain production-grade dbt data models with tests and documentation
Reconcile payment data against source systems and validate metric definitions with finance
From the employer’s posting
Set the analytics agenda for Payments. Find product opportunities, data gaps, and automation candidates across payment methods, and bring them to Product as recommendations that shape the roadmap.
Define metrics and OKRs, run a standing review cadence with Product, and drive a deep-dive practice.
Run experiments and apply causal inference, so recommendations rest on what moved a metric, not on correlation.
Build and maintain production-grade data models in dbt with tests, documentation, and version-controlled workflows.
Partner with data engineering and finance to validate data quality and metric definitions, reconcile payment data against source systems
Posting record
Report an errorActively hiringFirst seen by us 11 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 23, 202611 days ago
- Recorded sightings
- 14
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 11
Similar jobs usually come down between day 5 and day 41.
From 10,536 similar postings that came down. Coming down is not always a hire.
BILL is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- dbt
Where the posting names them
- A track record of self-directed work: finding high-impact problems and shipping the fix. - Advanced SQL and strong Python. - Production experience with dbt or similar: models, tests, documentation, version-controlled review.
- Run experiments and apply causal inference, so recommendations rest on what moved a metric, not on correlation. - Build and maintain production-grade data models in dbt with tests, documentation, and version-controlled workflows. - Build with AI-assisted workflows by default, and automate recurring reporting to free your time for higher-value work.
- Advanced SQL and strong Python. - Production experience with dbt or similar: models, tests, documentation, version-controlled review. - Fluency in experimentation and causal inference, and the judgment to know when an experiment is the right tool.
Your next step
Complete your application on www.bill.com. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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. We're remote-first, with office spaces in San Jose, CA and Draper, UT — and opportunities to connect in person when it counts. 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
You will be the analytics owner for BILL's payments products within Payments and Financial Services (PFS), covering payment conversion and failures, card and pay-by-card, settlement, and monetization.
This is not a role that runs the analyses Product hands you. You will find what Product did not know to ask: the failure pattern quietly eroding conversion, the manual step that should be automated, the deep dive that changes a roadmap call. Your work is measured by the product and roadmap decisions it drives.
You will set the analytics agenda for payments, define the KPIs the business runs on, and build the production-grade data models behind them. You will partner directly with Product, Engineering, Product Marketing, Finance, and GTM leadership, with real ownership and executive visibility from day one.
Responsibilities
- Set the analytics agenda for Payments. Find product opportunities, data gaps, and automation candidates across payment methods, and bring them to Product as recommendations that shape the roadmap.
- Own the Payments analytics relationship. Define metrics and OKRs, run a standing review cadence with Product, and drive a deep-dive practice.
- Run experiments and apply causal inference, so recommendations rest on what moved a metric, not on correlation.
- Build and maintain production-grade data models in dbt with tests, documentation, and version-controlled workflows.
- Build with AI-assisted workflows by default, and automate recurring reporting to free your time for higher-value work.
- Drive executive reporting and its adoption across leadership and Product.
- Present with confidence to senior stakeholders, and hold your ground when a metric is contested.
- Partner with data engineering and finance to validate data quality and metric definitions, reconcile payment data against source systems, and fix documentation-to-logic drift when you find it.
We would love to chat if you have
- 5+ years in product analytics, data science, or a related quantitative field, owning a domain end to end.
- A track record of self-directed work: finding high-impact problems and shipping the fix.
- Advanced SQL and strong Python.
- Production experience with dbt or similar: models, tests, documentation, version-controlled review.
- Fluency in experimentation and causal inference, and the judgment to know when an experiment is the right tool.
- Genuine AI-native fluency. You already build with agentic coding tools, and you know from experience where their output can and cannot be trusted.
- The judgment to turn an ambiguous question into a metrics framework, and the spine to defend it.
- Data storytelling that turns a complex finding into a decision a product team acts on.
- Nice to have: experience with payments, fintech, or marketplace data, such as payment rails, settlement and reconciliation, fraud and risk signals, or pricing and monetization.
Visa Sponsorship
Responsibilities
- Set the analytics agenda for Payments. Find product opportunities, data gaps, and automation candidates across payment methods, and bring them to Product as recommendations that shape the roadmap.
- Own the Payments analytics relationship. Define metrics and OKRs, run a standing review cadence with Product, and drive a deep-dive practice.
- Run experiments and apply causal inference, so recommendations rest on what moved a metric, not on correlation.
- Build and maintain production-grade data models in dbt with tests, documentation, and version-controlled workflows.
- Build with AI-assisted workflows by default, and automate recurring reporting to free your time for higher-value work.
- Drive executive reporting and its adoption across leadership and Product.
- Present with confidence to senior stakeholders, and hold your ground when a metric is contested.
- Partner with data engineering and finance to validate data quality and metric definitions, reconcile payment data against source systems, and fix documentation-to-logic drift when you find it.
We would love to chat if you have
- 5+ years in product analytics, data science, or a related quantitative field, owning a domain end to end.
- A track record of self-directed work: finding high-impact problems and shipping the fix.
- Advanced SQL and strong Python.
- Production experience with dbt or similar: models, tests, documentation, version-controlled review.
- Fluency in experimentation and causal inference, and the judgment to know when an experiment is the right tool.
- Genuine AI-native fluency. You already build with agentic coding tools, and you know from experience where their output can and cannot be trusted.
- The judgment to turn an ambiguous question into a metrics framework, and the spine to defend it.
- Data storytelling that turns a complex finding into a decision a product team acts on.
- Nice to have: experience with payments, fintech, or marketplace data, such as payment rails, settlement and reconciliation, fraud and risk signals, or pricing and monetization.
Visa Sponsorship
Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.
#LI
Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed below. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits. The estimated salary ranges noted below roles in the specific geographic zones
Zone 1: San Francisco Bay Area CA (includes HQ), New York City, Seattle, Los Angeles County
$126,900—$151,800 USD
Zone 2: CA (Non San Francisco Bay Area and Los Angeles County), Austin TX, Massachusetts
$114,200—$136,700 USD
Zone 3: Utah (includes Utah office), Dallas TX, Houston TX, Florida, North Carolina, Illinois, Colorado, Arizona, Georgia, Oregon, Pennsylvania
$107,800—$129,100 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:
- BILL covers the majority of your medical, dental, and vision premiums, and that includes your dependents.
- HSA & FSA accounts
- Life Insurnace, Long & Short-term disability coverage
- Mental Wellbeing & Employee Assistance Program (EAP)
- 10 company holidays, 2 floating holidays and flexible time off
- Employee Stock Purchase Program with employee discounts
- Employee recognition and referral programs
- and much more
Don’t believe us? Check out our culture, benefits, and teams on our career site, LinkedIn Life, or YouTube pages.
BILL is an Equal Opportunity Employer. We believe our best ideas come from the unique stories, perspectives, and experiences of our team members. We welcome people of all backgrounds, abilities, and identities to bring their authentic selves and contribute to our culture.
We are committed to a transparent, inclusive hiring process that reflects our values. If you need accommodations at any stage, please contact interviewaccommodations@hq.bill.com. To ensure a fair evaluation, our Candidate Integrity Policy prohibits the use of unapproved external assistance, including generative AI, during live interviews or assessments. Doing so will result in a review and potential disqualification.
Our Applicant Privacy Notice describes how BILL treats the personal information it receives from applicants.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
United States
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. We're remote-first, with office spaces in San Jose, CA and Draper, UT — and opportunities to connect in person when it counts. 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.
- Work authorization
- Nice to have: experience with payments, fintech, or marketplace data, such as payment rails, settlement and reconciliation, fraud and risk signals, or pricing and monetization. Visa Sponsorship Responsibilities
More source context
- Nice to have: experience with payments, fintech, or marketplace data, such as payment rails, settlement and reconciliation, fraud and risk signals, or pricing and monetization. Visa Sponsorship Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future. #LI