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.
Georgia · Romania · Poland · Bulgaria · Georgia
Actively hiring, first seen by us 4 days agoLocation type: RemoteFrom the employer’s posting
Employment type: Full-timeFrom the employer’s posting
Department: BIFrom the employer’s posting
Analyse payment success rates, declines and provider performance to cut friction and cost
Find fraud and abuse patterns and turn them into rules, thresholds and segments
Design, back-test and monitor automated risk decisions after they go live
Build dashboards and anomaly alerts in Looker or Tableau
Deliver investigation queries and audit-ready reporting for Compliance on AML work
diving into success rates, declines, payment methods and provider performance
translate findings into actionable rules, thresholds and segments
Design, back-test and monitor automated risk decisions
dashboards in Looker or Tableau, plus alerts for business-critical anomalies
delivering investigation queries, data analysis and audit-ready reporting
Hands-on data analyst background in payments, fraud, risk or AML
Strong SQL skills on a cloud data warehouse (BigQuery preferred)
practical experience in Looker, Tableau or Power BI
Demonstrated experience analysing fraud and abuse patterns in transactional and behavioural data
The ability to run analytical projects from ambiguity to delivery
We are B2Spin, and we are dedicated to delivering the best Free-to-Play Social Casino and gaming experiences by creating captivating, engaging, and unique products that are accessible to everyone.
In the employer’s words · Read in context · Company website ↗
Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$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.
Day 4
Early. Similar jobs usually come down between day 5 and day 41.
From 10,535 similar postings that came down. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- An investigative instinct and sharp attention to detail — you notice when something looks off and you follow it until you understand why. - Python for deeper analysis, anomaly detection or modelling is a strong plus, as is familiarity with fraud-scoring tools, device or behavioural signals, social casino mechanics, or ML approaches to fraud detection. Our values
- Hands-on data analyst background in payments, fraud, risk or AML — ideally within gaming, iGaming, fintech or another high-volume digital environment. - Strong SQL skills on a cloud data warehouse (BigQuery preferred) paired with practical experience in Looker, Tableau or Power BI. - Demonstrated experience analysing fraud and abuse patterns in transactional and behavioural data, with a clear understanding of the trade-off between fraud capture and friction for genuine players.
- Design, back-test and monitor automated risk decisions, balancing fraud capture against player friction and tracking real-world impact after every change goes live. - Build the reporting layer that keeps the business informed — dashboards in Looker or Tableau, plus alerts for business-critical anomalies like provider volume drops or risk spikes. - Partner with Compliance on AML work, delivering investigation queries, data analysis and audit-ready reporting that hold up to scrutiny.
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Yes. We’ve followed one other Payments & Fraud Data Analyst job there since October 2026. It is still up.
About B2Spin
We are B2Spin, and we are dedicated to delivering the best Free-to-Play Social Casino and gaming experiences by creating captivating, engaging, and unique products that are accessible to everyone. We have built a team of talented professionals from all over the globe, who are working to continually improve the experiences of our players. We are not looking to just be part of the industry, but to revolutionize it.
The role
B2Spin is looking for a Payments & Fraud Data Analyst to join our Business Intelligence team and help keep money moving safely through our platform. You'll turn transactional and player-behaviour data into clear insight that improves payment performance, prevents fraud and abuse, and protects the experience for genuine players — working closely with Payments, Fraud, Compliance and Operations to make their decisions sharper and faster.
What you'll do
Own payment performance analytics end to end — diving into success rates, declines, payment methods and provider performance to surface improvements that reduce friction and cost.
Uncover fraud and abuse patterns across transactional and behavioural data — from promo abuse and multi-accounting to chargebacks and money cycling — and translate findings into actionable rules, thresholds and segments.
Design, back-test and monitor automated risk decisions, balancing fraud capture against player friction and tracking real-world impact after every change goes live.
Build the reporting layer that keeps the business informed — dashboards in Looker or Tableau, plus alerts for business-critical anomalies like provider volume drops or risk spikes.
Partner with Compliance on AML work, delivering investigation queries, data analysis and audit-ready reporting that hold up to scrutiny.
Accelerate Operations and Customer Service with analytics that quantify review workloads, case outcomes and player-facing friction so teams move faster and more consistently.
Raise the analytical bar across the business — documenting data sources, metric definitions and automation logic so insight is trusted, reusable and easy to build on.
What we're looking for
Hands-on data analyst background in payments, fraud, risk or AML — ideally within gaming, iGaming, fintech or another high-volume digital environment.
Strong SQL skills on a cloud data warehouse (BigQuery preferred) paired with practical experience in Looker, Tableau or Power BI.
Demonstrated experience analysing fraud and abuse patterns in transactional and behavioural data, with a clear understanding of the trade-off between fraud capture and friction for genuine players.
The ability to run analytical projects from ambiguity to delivery — scoping unclear questions, building solutions, documenting them and monitoring their impact over time.
Confident, clear communication across Operations, Compliance and senior leadership, including the ability to challenge assumptions with data in a remote-team setting.
An investigative instinct and sharp attention to detail — you notice when something looks off and you follow it until you understand why.
Python for deeper analysis, anomaly detection or modelling is a strong plus, as is familiarity with fraud-scoring tools, device or behavioural signals, social casino mechanics, or ML approaches to fraud detection.
Our values
At B2Spin, passion means we genuinely love what we build — and we surround ourselves with people who feel the same way. Performance means we back that passion with accountability: we move fast, own our results, and choose progress over perfection every time.
Equal opportunities
We hire based on skills, drive, and ideas — nothing else. Your background, gender, age, race, ethnicity, disability, sexual orientation, religion, neurodiversity, or educational path will never be a barrier to joining us. We also welcome candidates from non-traditional career journeys and value diverse perspectives that challenge conventional thinking. Diversity fuels our innovation, collaboration, and growth, and we're committed to creating an environment where everyone can contribute their best work and thrive.
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No pay amount identified in the saved description.
Georgia
- The ability to run analytical projects from ambiguity to delivery — scoping unclear questions, building solutions, documenting them and monitoring their impact over time. - Confident, clear communication across Operations, Compliance and senior leadership, including the ability to challenge assumptions with data in a remote-team setting. - An investigative instinct and sharp attention to detail — you notice when something looks off and you follow it until you understand why.
No clear work-authorization passage found. Eligibility is unconfirmed.