Data Operations Analyst
SalaryNo pay range posted
LocationChicago, Illinois
Work modehybrid
Typefull-time
SeniorityEntry
Experience1–3 yrs
Company size10,000+ people
PostedSep 29, 2026 · 1w ago
Verified live17h ago
At a glanceSummarised by Seekless from the posting.
1-3 years of progressive experience in data analysis, programming, batch fulfillment systems, or related hands-on college coursework
Ability to analyze moderate to complex data using logic, quantitative reasoning, problem-solving skills, and sound decision-making
Working knowledge of legal, compliance, and business rules, with the ability to apply those standards during program execution
Strong verbal and written communication skills, with the ability to clearly convey information and collaborate effectively across teams
Hands-on experience with SQL and Python for data processing, manipulation, analysis, and/or automation
Working knowledge of Unix/Linux operating systems
Experience with data manipulation and transformation tools or utilities, such as Ab Initio, Informatica, or similar technologies
Familiarity with open-source or enterprise scheduling utilities, such as Airflow or similar platforms
Ability to apply software development lifecycle, quality assurance, troubleshooting, and validation practices to processing issues, system setup, data outputs, and test results
Bachelor's degree preferred, or equivalent hands-on experience, coursework, or knowledge related to data analysis, programming, or batch fulfillment systems
Skills
SQL
Python
Unix
Linux
Ab Initio
Informatica
Airflow
Legal
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Team Overview
Join a highly collaborative team responsible for translating business requirements into actionable data solutions for some of the world’s leading organizations. Working with large volumes of consumer credit data, you’ll partner across teams, solve complex challenges, and gain broad exposure to TransUnion’s products, customers, and business operations.
This role reports directly to the Senior Manager of the Customer Engagement division.
This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
Role Overview and Core Responsibilities
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Review, analyze, and translate customer and business requirements into TransUnion terminology and system-ready solutions.
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Act as a liaison between business units, technical teams, and operational partners to support the implementation of custom data fulfillment solutions.
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Analyze data, test results, and program outputs to ensure accuracy, integrity, and alignment with customer business needs throughout the program lifecycle.
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Develop, configure, and execute design concepts, code standards, and test plans to validate batch fulfillment system setup and output.
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Identify, troubleshoot, and resolve processing issues while maintaining accurate documentation and adherence to required standards.
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Collaborate with teams to translate process designs into repeatable system configurations while ensuring compliance with legal, business, and operational rules.
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Maintain accurate, efficient, and timely delivery of programs in a fast-paced environment with competing priorities.
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Participate in identifying cost reduction opportunities, process efficiencies, and quality improvements that support department-level goals.
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Apply knowledge of software development lifecycle principles and quality assurance practices to support program execution and continuous improvement.
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Achieve qualifying scores upon completion of training in proprietary systems and apply that knowledge to support ongoing program delivery.
Required Knowledge and Experiences
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Bachelor’s degree preferred, or equivalent hands-on experience, coursework, or knowledge related to data analysis, programming, or batch fulfillment systems.
•
1-3 years of progressive experience in data analysis, programming, batch fulfillment systems, or related hands-on college coursework.
•
Ability to analyze moderate to complex data using logic, quantitative reasoning, problem-solving skills, and sound decision-making.
•
Working knowledge of legal, compliance, and business rules, with the ability to apply those standards during program execution.
•
Strong verbal and written communication skills, with the ability to clearly convey information and collaborate effectively across teams.
Required Technical Skills
•
Hands-on experience with SQL and Python for data processing, manipulation, analysis, and/or automation.
•
Working knowledge of Unix/Linux operating systems.
•
Experience with data manipulation and transformation tools or utilities, such as Ab Initio, Informatica, or similar technologies.
•
Familiarity with open-source or enterprise scheduling utilities, such as Airflow or similar platforms.
•
Ability to apply software development lifecycle, quality assurance, troubleshooting, and validation practices to processing issues, system setup, data outputs, and test results.