Data Analyst
Full-time
VDart Inc
Job Title: Data Analyst
Location: Manhattan, NY(Hybrid)
Duration: / Term: C2C
Experience Desired: 5+ Years
Job Description:
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.
Key Skills:
Data Analyst, Financial Data, Transaction, AWS, Power BI, ETL, Tableau, SQL.
Vacancy posted 2 days ago
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