Data Analyst (Core Payments, CHIPS, Fedwire, wire transfers)

Title:- Data Analyst (Core Payments, CHIPS, Fedwire, wire transfers) Exp
Location:- Manhattan, New York
Work Model:- Hybrid – 3 days per week at NY office location
Employment Type          Contract or Full-time

Role Overview
The Data Analyst will analyze payment and enterprise data to support reporting, data quality, and business decision-making. The role will focus on SQL-based analysis, reconciliation, issue investigation, dashboard support, and data governance, with particular emphasis on CHIPS and wire-payment data.

Key Responsibilities
• Analyze payment and enterprise data to identify trends, discrepancies, and business insights.
• Use SQL to query, validate, and reconcile data across multiple sources.
• Investigate data-quality issues and work with business and technical teams to resolve them.
• Define data requirements, measures, business rules, and reporting needs with stakeholders.
• Build and validate dashboards, reports, and analytical outputs.
• Support data governance through documentation of definitions, lineage, ownership, and quality rules.

Ideal Candidate Profile
• 13+ years of experience as a Data Analyst or similar role working with complex datasets.
• Strong SQL skills, including querying, validation, reconciliation, and root-cause analysis.
• Experience with BI tools such as Power BI, Amazon QuickSight, or Tableau.
• Working knowledge of data quality, lineage, metadata, ownership, and stewardship.
• Strong analytical, communication, and stakeholder-management and problem solving skills.
• Clear communication with technical and non-technical stakeholders.
• Ownership of issues through root-cause analysis and resolution.
• Strong attention to detail and consistency.
• Ability to quickly build knowledge of CHIPS, wire payments, and related data.
• Experience with payments, banking, transaction, or financial-services data.
• Experience with CHIPS, Fedwire, wire transfers, or ISO 20022 is strongly required.
• Experience with AWS services such as S3, Athena, and QuickSight.
• Experience with data-quality controls, reconciliation, and exception analysis.

Education
Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience