Senior Data Analyst - Payments

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.

Payments ACH Wire SWIFT Cards RTP ISO20022 SQL Python Pandas NumPy Data Warehouse ETL Tableau Power BI Fraud AML Senior Data Analyst

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Average salary estimate

$145000 / YEARLY (est.)

min

max

$120000K

$170000K

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