Description review
Payments & Fraud Data Analyst
B2spin · Remote - Malta Office · back to the listing
HR standards
75/100
solid
Title ↔ description
85/100
strong
Reads as
Data Analyst
99% confident
What this role officially is
data analyst — ESCO, the EU occupation classification
Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.
Also known as: data warehousing analyst, data analysts, data warehouse analyst, data storage analyst
How others title the same work
Large employers
- Operations Insights, Tax Stripe
Startups
- Senior Data Analyst Camber
- Senior Data Analyst Confido
What the listing never says
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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.
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.