IT - Data Analyst - Senior

Job Title: Senior Data Analyst – AML / Financial Crime Location: Chicago, IL (Remote/Hybrid) Duration: 3 Months

Position Overview

We are seeking a Senior Data Analyst to support a high-impact AML (Anti-Money Laundering) rule migration project. The selected candidate will play a critical role in validating and reconciling reporting outputs as AML rules are migrated from a legacy platform to SAS Viya.

This position is focused on business reporting, data validation, reconciliation, and analytical problem-solving rather than software development or quantitative modeling. The ideal candidate will possess strong SQL and SAS skills, exceptional analytical abilities, and experience explaining data discrepancies to business stakeholders.

About the Team

The Financial Crime/AML team supports transaction monitoring and regulatory compliance by developing, validating, and reconciling rule-based reporting for payments data, including Wire Transfers and SWIFT transactions. The team ensures migrated rules accurately replicate legacy system outputs while meeting regulatory and compliance standards.

Project Overview The contractor will support the migration of AML rules and reporting from a legacy platform to SAS Viya, including: Validating migrated AML rules Performing record-level reconciliation between legacy and new systems Identifying, documenting, and explaining discrepancies Supporting defect tracking, root cause analysis, and testing Producing comprehensive reconciliation and validation documentation

Key Responsibilities

• Execute and validate AML rules within SAS Viya Compare reporting outputs between legacy and new platforms Perform detailed record-level reconciliation and data validation Investigate discrepancies and determine root causes Identify whether differences can be resolved or require business documentation Support data load validation activities Participate in defect identification, testing, and resolution tracking Produce well-documented reconciliation artifacts and business logic documentation Collaborate with developers during rule implementation and validation Present analytical findings in clear, business-friendly language Partner with business and technical stakeholders throughout the migration lifecycle

Required Qualifications

• Bachelor's degree or equivalent experience 5–7 years of experience in Data Analytics, Data Validation, or Business Reporting Strong SQL skills including: Joins Aggregations Common Table Expressions (CTEs) Experience with SAS: Base SAS DATA Step PROC SQL OR strong SQL experience with the ability to quickly adapt to SAS Proven experience analyzing results and explaining why discrepancies exist Experience with data validation, reconciliation, and documentation Strong analytical and problem-solving skills

Preferred Qualifications

• AML (Anti-Money Laundering) experience Financial Services industry experience Payments domain experience including: Wire Transfers SWIFT Payments Processing Experience with system or rule migration projects Familiarity with SAS Viya Python experience

Technical Skills

• SQL PROC SQL Base SAS DATA Step SAS Viya Data Validation Data Reconciliation Business Reporting Root Cause Analysis Defect Tracking Data Quality Documentation Soft Skills Strong business acumen Excellent analytical and critical thinking skills Detail-oriented with a strong focus on data quality Ability to translate ambiguity into clear business requirements Excellent written and verbal communication skills Collaborative and stakeholder-focused Curious, proactive, and solution-oriented Why Join This Project?
• Work on a high-visibility AML modernization initiative Gain hands-on experience with SAS Viya migration Contribute to regulatory compliance and financial crime prevention Own validation and reconciliation deliverables Collaborate with business and technical stakeholders in a highly impactful project Flexible Remote/Hybrid work environment