Data Ops Analyst: Scalable Analytics & Automation

Harris | Oakmark; Chicago (IL); On-site; USD 95,000 - 110,000; Full time

Benefits offered by this job

Medical, prescription drug, dental, and vision insurance

Paid time off

401(k) plan

Tuition reimbursement

Job summary

A financial services firm in Chicago is seeking a Data Analyst for its Data Ops team. The role focuses on delivering scalable data, reporting, and operational analytics solutions. The ideal candidate will possess strong analytical skills, experience with SQL and Python, and work with cloud platforms like Snowflake and Azure. The expected salary for this Chicago-based role ranges from $95,000 to $110,000 USD and includes a comprehensive benefits package.

Qualifications

• 4-6 years of experience in investment management, financial services, or a data-intensive operations environment.
• Experience with cloud platforms, data quality tools, BI platforms.
• Demonstrated ability to analyze data issues and identify root causes.

Responsibilities

• Partner with data consumers to understand data needs.
• Design, develop, and maintain data and workflow automation solutions.
• Ensure data processes comply with operational risk, audit, and regulatory expectations.

Skills

SQL

Python

Data Analytics

Communication

Agile methodology

Education

Bachelor’s degree in Data Analytics, Engineering, Computer Science, Business, or a related field

Tools

Snowflake

Azure

PowerBI

Tableau

JIRA

SharePoint

Job description

A financial services firm in Chicago is seeking a Data Analyst for its Data Ops team. The role focuses on delivering scalable data, reporting, and operational analytics solutions. The ideal candidate will possess strong analytical skills, experience with SQL and Python, and work with cloud platforms like Snowflake and Azure. The expected salary for this Chicago-based role ranges from $95,000 to $110,000 USD and includes a comprehensive benefits package.