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Data Analyst

Arrowminds incNew York, NY🇺🇸United StatesPosted Oct 19, 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
New York, NY, United States
Posted
20 hours ago
SQLAWSTableauPower BI

Job Description

  • Role: Data Analyst
 
Location: Manhattan, NY
 
Work Model: Hybrid, 3 days per week at NY office location
 
 
 
 
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
  • 5–7 years of experience as a Data Analyst, Business 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.
Preferred 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.

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