Jr. Analytics Engineer

CIBC

Closes in 3 days

Quick summary

Work type: On-site
Location: Chicago, IL
Salary: $72,500–$72,500 / yr
Posted: 6 days ago
Closes: Jun 19, 2026 (soon)
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $161k

This role $72k

$58k most similar roles pay here $209k

This role pays less than 99% of similar roles. Most pay $126,800–$194,675 — the shaded band above. At the midpoint, this role pays about $72k versus about $161k 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 · Jr. Analytics Engineer

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Join CIBC’s data team as a Data Modeler at the senior level, responsible for maintaining and transforming dimensional and semantic models to support self-serve analytics. You will establish a consistent metrics layer, ensure data quality through testing and monitoring, and collaborate with data engineering teams to enforce SLAs and lineage management. Key responsibilities include pipeline orchestration, business partnership, and continuous improvement of data governance standards. Proficiency in dbt, SQL, and CI/CD practices is essential, along with experience in financial services datasets or regulated environments. Your work will power critical dashboards, enhance data reliability, and improve team velocity through robust documentation and developer standards.

Skills

dbt SQL Python Airflow CI/CD PostgreSQL Snowflake Kafka Git Docker AWS Google Cloud Platform Data Governance Data Quality Metric Layer ETL Dimensional Modeling Self-serve Analytics Documentation

What you'll do

Maintain and govern dimensional and semantic models for self-serve analytics.
Implement testing and monitoring to ensure data quality and observability.
Partner with data engineering to enforce SLAs and manage change effectively.
Build scalable datasets and metrics for dashboards and analytical use cases.
Identify opportunities to simplify the technical stack and reduce technical debt.
Contribute to coding standards, documentation, and peer review processes.
Provide guidance on data definitions and analytics best practices to stakeholders.

What we're looking for

Experience in data modeling and transformation for self-serve analytics and BI.
Strong background in data quality, observability, and governance practices.
Proficiency in pipeline orchestration and reliability optimization techniques.
Ability to collaborate with stakeholders to translate business logic into models.
Demonstrated experience in maintaining consistent metrics layers and SLAs.