Data Analyst

CIBC

Hybrid

Quick summary

Work type
Hybrid
Location
Chicago, IL
Salary
$160,555–$166,300 / yr
Posted
5 days ago
Closes
Aug 28, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $153k
This role $163k
$89k most similar roles pay here $188k

This role pays more than 69% of similar roles. Most pay $126,800–$178,631 — the shaded band above. At the midpoint, this role pays about $163k versus about $153k for comparable roles.

Based on 240 similar postings.

Employer

About CIBC

CIBC (Canadian Imperial Bank of Commerce) is a leading North American financial institution offering personal, business, public sector, and institutional banking, investment banking, and wealth management services. Industry: Banking & Financial Services

CIBC currently has 13 open roles on FindRole.

Listed pay typically runs $120,000–$150,000 across 13 roles with salary data.

Most-posted roles

View all roles at CIBC

At a glance

TL;DR · Data Analyst

CIBC Bank USA is hiring a Data Analyst to join its financial systems team at the senior level. This role involves validating complex data mapping and transformation logic for various applications and systems, implementing analytical models across different environments, and developing advanced SQL queries and PySpark scripts to extract and transform raw data from diverse sources. The analyst will design transactional models to assess credit risk and optimize asset-liability management, translating business requirements into actionable solutions that support executive decision-making while ensuring compliance with regulatory standards. Key responsibilities include stress testing, scenario analysis, and converting operational data into dimensional models for analytical reporting. Ideal candidates have a Bachelor’s degree in Computer Science or related field and at least five years of experience in complex data analysis within the financial industry, including expertise in entity-relationship diagrams, advanced SQL queries, Python programming, and Excel data visualization.

What you'll do

  • Develop and implement advanced SQL queries to extract and transform raw data.
  • Create PySpark automation scripts for data validation across various environments.
  • Design transactional models using banking data to assess credit risk and optimize asset-liability management.
  • Translate business requirements into actionable modeling solutions for executive decision-making.
  • Participate in stress testing and scenario analysis to enhance financial performance and risk management.
  • Convert raw operational data into dimensional models and data marts for analytical reporting.

What we're looking for

  • Bachelor’s degree in Computer Science or related STEM field and 5+ years of financial industry data analysis experience.
  • Expertise in entity-relationship diagrams, dimensional schema designs, and advanced SQL queries.
  • Proficiency in Python, PySpark automation scripts, and data lineage analysis.
  • Strong skills in Excel for advanced formulas, pivot tables, and data visualization.
  • Experience with statistical analysis and regulatory reporting compliance.
  • Participation in stress testing and scenario analysis for risk management.

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