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Metadata Analyst Jobs in Chicago, IL (NOW HIRING)

... metadata. * System Testing & QA Validation: Design and execute technical test plans for new billing ... Analytical Problem-Solving: Ability to untangle complex data discrepancies across multiple ...

... metadata. * System Testing & QA Validation: Design and execute technical test plans for new billing ... Analytical Problem-Solving: Ability to untangle complex data discrepancies across multiple ...

... metadata. * System Testing & QA Validation: Design and execute technical test plans for new billing ... Analytical Problem-Solving: Ability to untangle complex data discrepancies across multiple ...

Research, Analyst

Chicago, IL · On-site

$25.71 - $33.28/hr

... metadata, geographic crosswalks, and version control. * Formal Analysis - Apply statistical, spatial (e.g., nearest-neighbor distance, Moran's I), and text/NLP methods; interpret and summarize ...

Research, Analyst

Chicago, IL · On-site

$25.71 - $33.28/hr

... metadata, geographic crosswalks, and version control. * Formal Analysis - Apply statistical, spatial (e.g., nearest-neighbor distance, Moran's I), and text/NLP methods; interpret and summarize ...

SQL Database Administrator

Chicago, IL · On-site

$51.50 - $64.50/hr

In addition, this role will work with data modeling, data/metadata analysis, and ETL. Thorough knowledge and experience with Microsoft SQL 2005, 2008, 2008 R2, 2012 or greater. Thorough knowledge of ...

... using Metadata API, ChangeSet and Ant. * Best Practices understanding on Coding Standards ... Analytical skills * Experience and desire to work in a Global delivery environment Qualifications

Showing results 21-40

Metadata Analyst information

See Chicago, IL salary details

$31.9K

$75.5K

$133.9K

How much do metadata analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for metadata analyst in Chicago, IL is $75,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,100.00 and $89,600.00 per year, depending on experience, location, and employer.

What is a metadata analyst?

A Metadata Analyst is responsible for organizing, managing, and maintaining metadata—structured information about data—within an organization. They ensure that data assets are accurately categorized, labeled, and accessible, improving searchability and data governance. Their role often involves working with databases, content management systems, and metadata standards to enhance data quality and consistency. Additionally, they collaborate with IT, data management, and business teams to ensure metadata aligns with organizational goals.

What are some typical challenges a metadata analyst might face in their daily work?

Metadata Analysts often encounter challenges such as managing large volumes of diverse data, ensuring metadata consistency across multiple systems, and navigating evolving data privacy regulations. Staying current with industry standards and adapting metadata frameworks to support new business needs can also be demanding. Working closely with IT, data governance, and business teams, Metadata Analysts must balance competing priorities and address data quality issues proactively. Overcoming these challenges helps enhance data findability, compliance, and overall organizational efficiency.

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

To thrive as a Metadata Analyst, a solid understanding of data management, database concepts, metadata standards, and a degree in information science, library science, or a related field is key. Familiarity with metadata management tools, data cataloging platforms, and systems like SQL, XML, and DAM (Digital Asset Management) systems, as well as certifications such as Certified Data Management Professional (CDMP), are often beneficial. Strong attention to detail, analytical thinking, and effective communication are essential soft skills that help with collaborating across departments. These combined skills ensure data is accurately organized, discoverable, and valuable for organizational decision-making and compliance.

What are the most commonly searched types of Metadata Analyst jobs in Chicago, IL?

The most popular types of Metadata Analyst jobs in Chicago, IL are:

What are popular job titles related to Metadata Analyst jobs in Chicago, IL?

For Metadata Analyst jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Metadata Analyst jobs in Chicago, IL look for?

The top searched job categories for Metadata Analyst jobs in Chicago, IL are:

Infographic showing various Metadata Analyst job openings in Chicago, IL as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $75,469 per year, or $36.3 per hour.

Billing Operations Analyst

Advyzon

Lisle, IL • On-site

$75K/yr

Full-time

Posted 13 days ago


Job description

Position Overview
The Billing Operations Analyst serves as the primary technical and data partner to the Billing Operations Specialist within Advyzon Investment Management. While the Specialist drives operational execution, fee calculations, and partner reconciliations, the Billing Operations Analyst bridges the gap between daily operations and software engineering.
This hands-on technical role is responsible for maintaining and enhancing custom billing applications, building direct data pipelines across PostgreSQL databases, and developing user-facing interfaces to automate billing workflows. By leveraging a tech stack that includes Vue.js, Ruby on Rails, C# .NET, and PostgreSQL, the Analyst ensures operational efficiency, system reliability, and robust data integrity across multi-custodian workflows.
Key Responsibilities
  • Technical Partnership & Workflow Automation: Partner directly with the Billing Operations Specialist to identify manual friction points, map billing logic, and engineer scalable system fixes and automation scripts.
  • Full-Stack Application Support & Development: Maintain and enhance internal billing tools and UI features using Vue.js, backend microservices and APIs in Ruby on Rails and C# .NET.
  • Database Architecture & Data Analytics: Write, optimize, and maintain complex PostgreSQL queries, scripts, and views to process high-volume custodial data, perform automated fee reconciliations, and research systemic data discrepancies.
  • Integrations & Custodian Data Pipelines: Build and support data ingestion pipelines and API connections for multi-custodian fee files, payment instructions, and account metadata.
  • System Testing & QA Validation: Design and execute technical test plans for new billing feature releases, backend algorithm changes, prorations, and system integrations to guarantee zero calculation errors in production.
  • Process Improvement & Tooling: Champion the adoption of modern software patterns, automation, and AI-driven tools to enhance data validation, exception monitoring, and audit tracking.
  • Cross-Functional Technical Coordination: Act as the technical liaison between Operations, Finance, Product, and Core Software Engineering teams to translate complex business rules into technical architecture specifications.
Qualifications
Technical Skills:
  • AI-Assisted Development & Productivity Tools: Demonstrated experience leveraging AI coding tools (e.g., GitHub Copilot, Claude Code, Cursor, ChatGPT, or similar LLM-driven coding assistants) to accelerate development workflows, automate unit test generation, debug complex codebases, and optimize database queries efficiently.
  • Backend Development: Hands-on software development experience with Ruby on Rails and/or C# .NET for API integrations, batch processing, and business logic execution.
  • Frontend Development: Working knowledge of Vue.js (or similar modern JavaScript frameworks like React/Angular) for updating and building internal operational dashboards and user interfaces.
  • Database / SQL: Strong proficiency in PostgreSQL (or similar relational databases), including writing complex joins, stored procedures, query optimization, and schema management.
  • System Integration: Experience working with RESTful APIs, JSON/XML data formats, and batch file integrations (e.g., SFTP, custodial data feeds).
Experience & Domain Knowledge:
  • Education & Experience: Bachelor's degree in Computer Science, Data Analytics, Information Systems, Finance, or a related field, with a minimum of 2-4 years of technical experience in financial operations, fintech, or data engineering.
  • Financial Services Exposure: Familiarity with advisory fee billing, portfolio accounting, multi-custodian platforms, or financial reconciliation logic is strongly preferred.
Soft Skills & Competencies:
  • Analytical Problem-Solving: Ability to untangle complex data discrepancies across multiple databases and legacy systems.
  • Collaborative Mindset: Exceptional communication skills with a proven track record of acting as a technical translator for business and operations partners.
  • Detail-Oriented & Rigorous: High standards for code quality, data accuracy, and automated testing in production environments.
Compensation
$75k