Data Analyst - Fedwire, Payments

Title :- Data Analyst
Location Manhattan, New York
Work Model Hybrid 3 days per week at NY office location

Employment Type:- Open for 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
9+ 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.

Required Qualifications
Experience with payments, banking, transaction, or financial-services data. Experience with CHIPS, Fedwire, wire transfers, or ISO 20022 is strongly preferred.
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.