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

Develop and maintain automated processes for data extraction and transformation to streamline data ... Conduct ad-hoc analysis and deep dives to address specific business questions and challenges as ...

Develop and maintain automated processes for data extraction and transformation to streamline data ... Conduct ad-hoc analysis and deep dives to address specific business questions and challenges as ...

Data Engineer Lead

Lisle, IL ยท On-site

$112K - $135K/yr

Responsibilities : โ€ข Lead the data conversion team through scoping, extraction, mapping, and ... data analysis background, including the planning and hands on execution of data cleansing and ...

To ensure success as a technical data analyst, you should demonstrate experience performing data ... extraction / manipulation using queries would be a plus

Manager, Data & Analytics

Chicago, IL ยท On-site

$74K - $138K/yr

Use SQL and Python (or similar programming languages) to extract, analyze, and visualize data. * Build scalable analytical solutions and automate recurring processes. * Collaborate with the Sr. ...

Manager, Data & Analytics

Chicago, IL ยท On-site

$74K - $138K/yr

Use SQL and Python (or similar programming languages) to extract, analyze, and visualize data. * Build scalable analytical solutions and automate recurring processes. * Collaborate with the Sr. ...

Extract, analyze and report mainframe / system data including providing visibility to GSTT project pipelines. * Assist in the development of cost models, data collection and measurements to provide ...

Manager, Data & Analytics

Chicago, IL ยท On-site

$74K - $138K/yr

Use SQL and Python (or similar programming languages) to extract, analyze, and visualize data. * Build scalable analytical solutions and automate recurring processes. * Collaborate with the Sr. ...

Manager, Data & Analytics

Chicago, IL ยท Hybrid

$74K - $138K/yr

Use SQL and Python (or similar programming languages) to extract, analyze, and visualize data. * Build scalable analytical solutions and automate recurring processes. * Collaborate with the Sr. ...

Extract, analyze and report mainframe / system data including providing visibility to GSTT project pipelines. * Assist in the development of cost models, data collection and measurements to provide ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Company Description Tredence is a global analytics services and solutions company. Our capabilities ... Extract data from multiple sources, integrate disparate data into a common data model, and ...

Data Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

Company Description Tredence is a global analytics services and solutions company. Our capabilities ... Extract data from multiple sources, integrate disparate data into a common data model, and ...

ETL Developer

Chicago, IL ยท On-site

$52.50 - $68.75/hr

Collaborate with cross-functional teams (data analysts, business users, database administrators) to ensure data integration needs are met. * Team Management: * Mentor and guide ETL developers on ...

HRIS Analyst

Itasca, IL ยท On-site

$30 - $40/hr

Extract, organize and prepare HR, payroll and employee data from Paylocity for SAP SuccessFactors * Navigate Paylocity reporting tools to pull and analyze AIT-specific data * Work within the ...

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Data Extraction Analyst information

See Chicago, IL salary details

$35K

$85.1K

$140.1K

How much do data extraction analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data extraction 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 extraction analyst?

A Data Extraction Analyst is a professional responsible for collecting, processing, and interpreting data from various sources, such as databases, documents, and websites. They use specialized tools and software to extract relevant data, ensuring its accuracy and integrity. Their work supports business decisions, reporting, and analytics by making data accessible and usable for organizations. Data Extraction Analysts often collaborate with IT, data science, and business teams to streamline data workflows and comply with data privacy regulations.

What are the most common challenges data extraction analysts face when working with unstructured data sources?

Data Extraction Analysts often encounter challenges when dealing with unstructured data, such as inconsistent formats, incomplete records, and noisy or irrelevant information. Extracting reliable data from sources like scanned documents, emails, or social media posts requires advanced tools and techniques, including optical character recognition (OCR) and natural language processing (NLP). Overcoming these challenges typically involves close collaboration with data engineers and subject matter experts, as well as continuous refinement of extraction processes to maintain data quality and accuracy.

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

To thrive as a Data Extraction Analyst, strong analytical skills, attention to detail, and proficiency in data management are essential, often supported by a degree in computer science, information systems, or a related field. Familiarity with ETL (Extract, Transform, Load) tools, SQL databases, and data visualization software is typically required, and certifications in data analytics or database management can be advantageous. Excellent problem-solving abilities, communication skills, and adaptability help analysts effectively interpret data requirements and collaborate with stakeholders. These skills ensure accurate data extraction, support informed decision-making, and maintain data integrity in complex organizational environments.

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

AspectData Extraction AnalystData Analyst
Primary FocusExtracting, cleaning, and preparing data from various sourcesAnalyzing data to identify trends and support decision-making
Skills & ToolsSQL, data scraping, ETL tools, data managementExcel, statistical analysis, visualization tools, SQL
Work EnvironmentData warehouses, databases, ETL pipelinesReporting platforms, dashboards, business intelligence tools
Common IndustriesIT, finance, marketing, e-commerceFinance, healthcare, marketing, consulting

While both roles involve working with data, Data Extraction Analysts focus on retrieving and preparing data for analysis, whereas Data Analysts interpret and analyze data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

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

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

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

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

Infographic showing various Data Extraction Analyst job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $85,131 per year, or $40.9 per hour.

Data Analyst

1 point system

Chicago, IL โ€ข On-site

Contractor

Re-posted yesterday


Job description

• Collect, clean, and analyze technology data from various sources to identify trends, patterns, and anomalies.
• Supports the development and distribution of daily, monthly, and quarterly reports to monitor the Bank’s technology metrics portfolio
• Develop and maintain automated processes for data extraction and transformation to streamline data workflows.
• Create and maintain comprehensive reports and dashboards to visualize key performance indicators (KPIs), key risk indicators (KRIs) and metrics.
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• Conduct ad-hoc analysis and deep dives to address specific business questions and challenges as needed.
• Assist in the preparation of presentations and reports for internal stakeholders, conveying complex technical findings in a clear and concise manner.
• Stay updated on industry trends, best practices, and emerging technologies in data analysis and financial services.
• Encourages teamwork, professionalism and high morale, throughout the department and the Bank.
• Creates efficiencies within work tasks to eliminate or reduce manual processes.