Data Analyst

Location: Manhattan, NY, 10166, United States

Salary: USD 140000 - 145000 (Yearly)

Contact: Not Applicable

Job Title: Data Analyst

Location: Manhattan, NY(Hybrid)

Duration: / Term: C2CExperience 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: Profile5–7 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.SkillsData Analyst, Transaction, AWS, Power BI, ETL, Finance