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Senior Data Analyst

Iconma

 

Chicago, IL, USA

Posted On: 30+ days ago
Experience: 5+ years
Availability: Onsite
Openings: 1
Category: Senior Data Analyst
Tenure: No Preference/Any
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Description

Responsibilities:

  • The Senior Data Analyst will support a large AML rule migration by analyzing and reconciling outputs between a legacy platform and SAS Viya.
  • This role is focused on business reporting and analytical judgment, not quantitative modeling, or algorithm development.
  • Executing and validating AML rules in SAS Viya
  • Comparing outputs against legacy systems
  • Investigating discrepancies down to record-level detail
  • Determining whether differences can be resolved or must be documented
  • Producing clear documentation explaining variances and logic changes
  • Communicating findings to stakeholders in clear, business-friendly language


Requirements:

  • 5–7 years of experience in Data Analytics or Business Reporting
  • Strong SQL (joins, aggregations, CTEs)
  • SAS experience (Base, DATA step, PROC SQL) or strong SQL with ability to adapt to SAS
  • Proven experience interpreting results and explaining “why” differences exist
  • AML domain experience
  • Financial services background
  • Payment data experience (preferred):
  • Wires
  • SWIFT
  • Payment data more broadly
  • Prior experience with system or rule migrations
  • Familiarity with SAS Viya
  • Python experience
  • Data Load Validation
  • Reconciling results at record level
  • Identifying and documenting discrepancies (e.g., data availability, date logic changes)
  • Refining SAS Viya logic to align as closely as possible with legacy outputs
  • Defect identification, root cause analysis support, defect resolution tracking and testing
  • Producing final, well-documented reconciliation artifacts
  • This is not a coding-heavy role. Sr. Data Analyst must support code development and possess strong SQL skills and Proc SQL (SAS).
  • Strong business acumen with the ability to translate ambiguity into clear requirements
  • Curious and inquisitive, with strong problem-solving skills
  • Detail-oriented with a data quality and validation mindset
  • Clear, concise communicator who can present technical findings in business-friendly language
  • Stakeholder-focused and collaborative team player

Education

Any Graduate

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