Title :- Data Analyst
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
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Analyze payment and enterprise data to identify trends, discrepancies, and business insights.
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Use SQL to query, validate, and reconcile data across multiple sources.
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Investigate data-quality issues and work with business and technical teams to resolve them.
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Define data requirements, measures, business rules, and reporting needs with stakeholders.
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Build and validate dashboards, reports, and analytical outputs.
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Support data governance through documentation of definitions, lineage, ownership, and quality rules.
Ideal Candidate Profile
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9+ years of experience as a Data Analyst, or similar role working with complex datasets.
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Strong SQL skills, including querying, validation, reconciliation, and root-cause analysis.
· Experience with BI tools such as Power BI, Amazon QuickSight, or Tableau.
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Working knowledge of data quality, lineage, metadata, ownership, and stewardship.
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Strong analytical, communication, and stakeholder-management and problem solving skills.
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Clear communication with technical and non-technical stakeholders.
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Ownership of issues through root-cause analysis and resolution.
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Strong attention to detail and consistency.
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Ability to quickly build knowledge of CHIPS, wire payments, and related data.
Required Qualifications
· Experience with payments, banking, transaction, or financial-services data.
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Experience with CHIPS, Fedwire, wire transfers, or ISO 20022 is strongly preferred.
· Experience with AWS services such as S3, Athena, and QuickSight.
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Experience with data-quality controls, reconciliation, and exception analysis.
Education
Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience.
