Technical Data Analyst

IDR Inc.; Chicago (IL); On-site; USD 104,000 - 110,000; Full time

Benefits offered by this job

Medical, Vision, Dental

Employee Stock Ownership Program

Job summary

IDR, Inc. is seeking a Technical Data Analyst in Chicago, IL to support data governance and modernization for a financial services client.

You will work onsite to strengthen data quality, ensure data lineage, and drive end-to-end requirements for evolving financial data systems. You will combine analytics with platform modernization using SQL, ETL, and modern data tooling to validate solutions and keep data reliable across connected systems.

Qualifications

• 6+ years of experience as a technical data analyst.
• Finance modernization experience including subledgers and GAAP reporting.
• Strong SQL, ETL development, and data transformation skills.
• Experience with Databricks, medallion architecture, and Azure-based data platforms.
• Ability to create and manage data lineage across multiple systems, including legacy environments.

Responsibilities

• Provide data analysis support for finance transformation projects and data governance initiatives.
• Support the implementation and modernization of financial data systems, including end-to-end delivery of requirements.
• Collaborate with cross-functional teams to maintain accurate data lineage and data quality across systems.
• Use SQL, ETL, and modern data platform capabilities to develop and validate data solutions.
• Lead workstreams independently, managing issues and communicating technical details to stakeholders.

Skills

SQL

ETL development

Data transformation

Data governance

Tools

Databricks

Azure

Medallion architecture

Job description

Join IDR, Inc. as a Technical Data Analyst supporting data governance and modernization efforts within the financial services space. This onsite role is based in Chicago, IL, partnering with teams to strengthen data quality, maintain data lineage, and deliver end-to-end requirements for evolving financial data systems.

Working at the intersection of analytics and platform modernization, you will use SQL and ETL practices alongside modern data tooling to validate solutions and help ensure that data stays reliable across connected systems.

Role Summary

The position supports finance transformation projects and data governance initiatives for a client in Chicago, Illinois. The work focuses on improving data quality and traceability across systems, including legacy environments, while contributing to the implementation and modernization of financial data platforms.

Responsibilities

• Provide data analysis support for finance transformation projects and data governance initiatives.
• Support the implementation and modernization of financial data systems, including end-to-end requirement delivery.
• Collaborate with cross-functional teams to maintain accurate data lineage and data quality across systems.
• Use SQL, ETL, and modern data platform capabilities to develop and validate data solutions.
• Lead workstreams independently, managing issues and communicating technical details to stakeholders.

Requirements

• 6+ years of experience as a technical data analyst.
• Demonstrated expertise in finance modernization, including experience with subledgers, GAAP reporting, and accounting systems.
• Strong hands-on skills in SQL, ETL development, and data transformation.
• Experience with Databricks, medallion architecture, and Azure-based data platforms.
• Ability to create and manage data lineage across multiple systems, including legacy environments.

Technologies

• SQL
• ETL
• Databricks
• Medallion architecture
• Azure

Compensation and Benefits

• Salary: USD 50 - 53 per hourly
• Competitive compensation package
• Full Benefits including Medical, Vision, Dental, and more
• Medical, Dental, Vision, and Life Insurance
• Employee Stock Ownership Program

Why IDR

• 25+ Years of proven industry experience across 4 major markets
• Dedicated Engagement Manager committed to your success

What’s in It for You

Opportunity to join an industry-leading organization while contributing directly to data governance and modernization outcomes.