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Data Operations Analyst Jobs in Chicago, IL (NOW HIRING)

... with operational requirements. • perform business analysis and define requirements for data management processes and system workflows. • support user acceptance testing (UAT) and production ...

Data Operations Lead Location: Chicago IL Salary $125K + Benefits We are looking for a passionate ... Strong analytical and problem-solving abilities. * Experience working with data integration and ...

Operations Analyst

Chicago, IL · On-site

$90K - $120K/yr

Operations Analyst How You Can Make an Impact Geneva Trading is seeking an Operations Analyst to ... Leverage AI tools to enhance automation, streamline workflows, and improve data processing ...

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Operations Analyst

Chicago, IL · On-site

$55K - $70K/yr

In this role, you'll analyze data, document processes, and help implement operational improvements that drive efficiency and excellence across the organization. Reporting to the Operations Manager ...

What you'll do as an Operations Analyst at Akuna: As an Operations Analyst, you will play a ... Perform monthly market data and cost analysis, delivering clear, actionable reporting to internal ...

What you'll do as an Operations Analyst at Akuna: As an Operations Analyst, you will play a ... Perform monthly market data and cost analysis, delivering clear, actionable reporting to internal ...

What you'll do as an Operations Analyst at Akuna: As an Operations Analyst, you will play a ... Perform monthly market data and cost analysis, delivering clear, actionable reporting to internal ...

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Data Operations Analyst information

See Chicago, IL salary details

$35K

$85.1K

$140.1K

How much do data operations analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data operations analyst in Chicago, IL is $85,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $99,900.00 per year, depending on experience, location, and employer.

What is a data operations analyst?

Data Operations Analysts are professionals who manage, optimize, and ensure the accuracy of data workflows within an organization. They are responsible for collecting, processing, and analyzing data to support business operations and decision-making. Their duties often include maintaining databases, troubleshooting data issues, and collaborating with other teams to improve data quality and efficiency. By ensuring data integrity and availability, Data Operations Analysts help organizations make data-driven decisions and streamline their operations.

What are the key skills and qualifications needed to thrive as a data operations analyst, and why are they important?

To thrive as a Data Operations Analyst, you need strong analytical skills, proficiency in data management, and a relevant degree such as in computer science, statistics, or a related field. Familiarity with SQL, data visualization tools (such as Tableau or Power BI), and data pipeline systems is typically required, along with certifications like Microsoft Certified: Data Analyst Associate being advantageous. Attention to detail, problem-solving ability, and effective communication are essential soft skills for collaborating with cross-functional teams and ensuring data integrity. These skills and qualities are vital for maintaining accurate data flows, supporting business decisions, and driving operational efficiency.

How does a data operations analyst typically collaborate with other departments to improve data processes?

Data Operations Analysts regularly work with cross-functional teams, including IT, business intelligence, and department leads, to streamline data collection, integration, and reporting. They often serve as the bridge between technical and non-technical teams, translating business needs into actionable data solutions. Effective collaboration may involve participating in meetings to understand project requirements, troubleshooting data issues with engineering teams, and training staff on new data tools or procedures. Strong communication skills are essential, as the role requires aligning diverse stakeholders toward common data integrity goals.

What is the difference between Data Operations Analyst vs Data Analyst?

AspectData Operations AnalystData Analyst
Required CredentialsBachelor's in Data Science, IT, or related field; certifications like Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Certified Data Analyst
Work EnvironmentData teams, IT departments, business operationsBusiness units, marketing, finance, or research teams
Employer & Industry UsageTech companies, finance, healthcare, retailMarketing agencies, consulting firms, finance, healthcare

While both roles involve working with data, Data Operations Analysts focus on managing data workflows, ensuring data quality, and supporting data infrastructure. Data Analysts primarily analyze data to generate insights, reports, and support decision-making. The roles often overlap but differ in their core responsibilities and focus areas.

What job categories do people searching Data Operations Analyst jobs in Chicago, IL look for? The top searched job categories for Data Operations Analyst jobs in Chicago, IL are:
Infographic showing various Data Operations Analyst job openings in Chicago, IL as of July 2026, with employment types broken down into 83% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $85,198 per year, or $41 per hour.

Full-time

Posted 29 days ago


UBS rating

8.8

Company rating: 8.8 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

16th of 170 rated banks


Job description

Are you curious about how financial instruments, benchmarks and indices are used across the Asset Management lifecycle. Are you organised, detail-oriented and motivated by analytical challenges. We're looking for someone who can:
support daily and periodic index calculation, validation and distribution activities, including benchmark setup, maintenance, reconciliation and deactivation, in line with agreed service level agreements (SLAs) across the full lifecycle.
respond to internal queries to clarify, verify, reconcile and control security, index, benchmark and performance data, ensuring completeness, accuracy and timeliness.
control, analyse, calculate and maintain systems and databases to ensure the accuracy and integrity of static and time-series data across applications.
follow, document and review standard operating procedures to ensure they remain fit for purpose and aligned with operational requirements.
perform business analysis and define requirements for data management processes and system workflows.
support user acceptance testing (UAT) and production releases, working closely with data vendors, operations teams and stakeholders to resolve data issues and meet SLA commitments.


What UBS employees say

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Benefits

Hours and flexibility

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About UBS

Sourced by ZipRecruiter

We want to create superior value for our clients, shareholders and employees. And we want to stand out as a winner in our industry for our expertise, advice and execution, our contribution to society, our work environment and our business success.

Industry

Securities, commodity contracts, and financial investments

Company size

10,000+ Employees

Headquarters location

Zürich, ZH, CH