Senior Payments Operations Analyst in United

Energy Jobline
United States
26 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Software as a Service Data Presentation Data Visualization Fraud Prevention and Detection Python (Programming Language) Power BI Tableau (Software) Transaction Data Snowflake Data Analytics Looker Analytics

Job description

We’re hiring a Senior Payments Operations Analyst to join our growing team. In this role, you’ll be the go-to person for analyzing client transaction data and delivering insights that drive revenue growth for our clients. You’ll work directly with our CEO, CPO and cross-functional teams to uncover trends, flag anomalies, and identify opportunities for optimization across gateways, BINs, and merchant configurations.

Requirements

  • 3+ years of experience in payments, or data analytics (ideally in fintech, ecommerce, or SaaS). \n

  • Proficiency in Python and data visualization tools (e.g. Power BI, Tableau, Looker). \n

  • Strong data storytelling skills - able to translate numbers into actionable business insights. \n

  • Experience working with or analyzing transaction-level payments data (e.g., card authorization rates, chargebacks, gateway logs). \n

  • Ability to work independently and thrive in a fast-paced startup environment. \n

  • Comfort working directly with leadership and clients. \n

Nice to Have\n \n

  • Experience with payment processors, gateways, or PSPs. \n

  • Knowledge of fraud detection, MID management, or merchant routing strategies. \n

  • Familiarity with data tools like dbt and Snowflake. \n

Benefits & conditions

  • Analyze and interpret large volumes of transaction data from multiple sources, platforms and different client nuances. \n

  • Collaborate with the CEO to produce clear, actionable insights for clients. \n

  • Identify trends in approval/decline patterns and suggest improvements in gateway and BIN-level routing strategies. \n

  • Detect anomalies in transaction datasets that could indicate fraud, MID or gateway configuration issues, or operational gaps. \n

  • Conduct ad hoc analyses to support client strategies, internal dashboards, and product decisions. \n

  • Help maintain dashboards and reporting tools for ongoing performance monitoring. \n

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