Senior Data Analyst - Payments

TLDR

Analyze large-scale Payments transaction data to derive insights, support decision-making, and ensure compliance across various payment platforms in a banking environment.

Job Title: Senior Data Analyst – Payments
Location: Pittsburgh PA, Cleveland OH, Dallas TX
Experience: 10+ Years
Employment Type: Full-Time 

Role Overview
We are seeking a Senior Data Analyst with deep Payments domain experience and strong hands-on expertise in SQL and Python. This role will focus on analyzing large-scale transaction data, deriving business insights, and supporting decision-making across Payments platforms (ACH, Wire, Cards, RTP, etc.).
The ideal candidate will combine strong technical skills with a solid understanding of Payments operations, compliance, and risk controls within a banking environment.
Key Responsibilities
  • Analyze large volumes of Payments transaction data to identify trends, anomalies, and business insights.
  • Write complex, high-performance queries using advanced SQL (joins, CTEs, window functions, performance tuning).
  • Develop data transformation and analytics scripts using Python (Pandas, NumPy, data wrangling).
  • Create dashboards, reports, and performance metrics for business stakeholders.
  • Partner with Payments, Risk, Compliance, and Operations teams to support reporting and data-driven initiatives.
  • Perform data validation, reconciliation, and quality checks across Payments systems.
  • Support regulatory and operational reporting requirements.
  • Document business logic, data definitions, and analytics methodologies.
Required Skills & Experience
  • 10+ years of experience as a Data Analyst, with strong exposure to Payments Banking.
  • Deep understanding of Payments ecosystem (ACH, Wire, SWIFT, Cards, Clearing & Settlement, ISO 20022).
  • Advanced proficiency in SQL (query optimization and large dataset handling).
  • Strong programming skills in Python for data analysis and automation.
  • Experience working with data warehouses and large transactional databases.
  • Strong analytical thinking and problem-solving skills.
  • Excellent stakeholder communication and documentation skills.
Preferred Qualifications
  • Experience with BI tools (Tableau, Power BI).
  • Exposure to fraud analytics, AML, or transaction monitoring systems.
  • Experience working in regulated banking environments.
  • Familiarity with Spark or distributed data processing frameworks.


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