Why This Role Stands Out
Leverage your SQL expertise and payments domain knowledge in this hybrid role at KONNECTINGTREE INC, where you'll drive critical business decisions through insightful data analysis and reporting. This position offers a fantastic opportunity for a mid-senior professional to expand their skills in a reputable company with a collaborative environment. Apply now to join a dynamic team and make a significant impact!
Quick Overview
Job Description
Data Analyst – Payments Domain
Overview
We're looking for a Data Analyst to analyze payment and enterprise data, with a focus on CHIPS and wire-payment data. You'll use SQL to reconcile data, investigate quality issues, and build reports that support business decisions.
Key Responsibilities
- Analyze payment data to identify trends, discrepancies, and insights
- Use SQL to query, validate, and reconcile data across sources
- Investigate data-quality issues through root-cause analysis and resolve them with business and tech teams
- Define data requirements and business rules with stakeholders
- Build and validate dashboards and reports
- Document data definitions, lineage, and ownership
Required Qualifications
- 5-7 years as a Data Analyst or Business Analyst
- Strong SQL (validation, reconciliation, root-cause analysis)
- Direct payments domain experience (CHIPS, Fedwire, wire transfers, ISO 20022, or similar)
- BI tools experience (Power BI, Tableau, or QuickSight)
- Working knowledge of data quality, lineage, and metadata
- Strong stakeholder and communication skills
Preferred Qualifications
- AWS experience (S3, Athena, QuickSight)
- Reconciliation and exception analysis experience
Education
Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience
Work Details
- Job Type: Open to both Full-time and Contract (C2C)
- Location: NYC
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