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Data Extraction Jobs in Wisconsin (NOW HIRING)

Data Extraction and Utilization: * Collaborate with the team to develop a fundamental understanding of data sources and the data extraction process. * Support team with data extraction and ...

Data Solution Architect

Milwaukee, WI · On-site

$123K - $234K/yr

Develop and maintain data pipelines, ensuring efficient extraction, transformation, and loading (ETL) processes for structured and unstructured data. * Apply best practices in dimensional modeling to ...

Data Solution Architect

Madison, WI · On-site

$123K - $234K/yr

Develop and maintain data pipelines, ensuring efficient extraction, transformation, and loading (ETL) processes for structured and unstructured data. * Apply best practices in dimensional modeling to ...

Data Analyst

Madison, WI · Remote

$115K/yr

Proficiency in SQL for data extraction, transformation, and analysis. * Working knowledge of data warehousing concepts, including ETL/ELT processes, data pipelines, and layered data architectures.

Data Analyst

Madison, WI · Remote

$115K/yr

Proficiency in SQL for data extraction, transformation, and analysis. * Working knowledge of data warehousing concepts, including ETL/ELT processes, data pipelines, and layered data architectures.

SAP SME Consultant - ABAP

Neenah, WI · On-site

$63.25 - $85.75/hr

The ideal candidate will be proficient in custom development, Z-table data extraction, and validating detailed technical documentation that maps extracted data to business logic. This role requires ...

The ideal candidate will be proficient in custom development, Z-table data extraction, and validating detailed technical documentation that maps extracted data to business logic. This role requires ...

Extract and analyze data from various systems, databases, and reporting tools to support internal and external reporting needs. * Perform data reconciliation and quality assurance reviews to ensure ...

Data Scientist II

Madison, WI · On-site +1

$80K/yr

Experience writing complex SQL queries for data extraction and transformation * Experience using Python for data processing, scripting, or automation * Demonstrated ability to translate business ...

Reltio MDM Solution Architect

Milwaukee, WI · On-site

$62 - $81.75/hr

Reltio Data Extraction * Lead teams of architects, consultants, and developers, onshore and offshore remote and on-site, through the successful design, configuration and testing of Reltio solutions.

SAP SME Consultant

Neenah, WI · On-site

$63.75 - $86.75/hr

Data extraction logic * Field-level mappings * Business rule interpretation * Source-to-target lineage * Ensure specifications are clear enough for data engineers to develop accurate and scalable ...

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Data Extraction information

See Wisconsin salary details

$10

$25

$63

How much do data extraction jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for data extraction in Wisconsin is $25.73, according to ZipRecruiter salary data. Most workers in this role earn between $13.83 and $28.54 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities for someone working in Data Extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

How to become a data extractor?

To become a data extractor, you typically need strong skills in data management, familiarity with data extraction tools like SQL, Python, or specialized software, and attention to detail. Many roles require a high school diploma or higher, and some may prefer certifications in data analysis or related fields. Gaining experience through internships or entry-level positions can also help build relevant skills.

What are the key skills and qualifications needed to thrive in the Data Extraction position, and why are they important?

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

What is a Data Extraction job?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

What is a data extraction job?

A data extraction job involves retrieving specific information from various sources such as websites, databases, or documents. It often requires skills in using tools like web scrapers or data management software and may involve cleaning and organizing data for analysis or reporting.

What does a data extractor do?

A data extractor is responsible for collecting and retrieving data from various sources such as websites, databases, or documents. They often use tools like web scraping software or data management systems and need strong attention to detail and technical skills. The role involves transforming unstructured data into organized formats for analysis or storage.
What are the most commonly searched types of Data Extraction jobs in Wisconsin? The most popular types of Data Extraction jobs in Wisconsin are:
What are popular job titles related to Data Extraction jobs in Wisconsin? For Data Extraction jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Extraction jobs in Wisconsin look for? The top searched job categories for Data Extraction jobs in Wisconsin are:
Infographic showing various Data Extraction job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $53,522 per year, or $25.7 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 29 days ago


Rogers Behavioral Health rating

6.0

Company rating: 6.0 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

749th of 890 rated healthcare providers


Job description

Summary:
The Data Analyst plays an essential role in supporting data gathering, analysis, and report development. This position will utilize data and develop reports, while also being dedicated to learning the fundamentals of data analysis and developing foundational skills to contribute to the organization's data-driven initiatives. The Data Analyst will assist senior team members while also creating output to help system leaders in understanding key metrics.Job Duties & Responsibilities:Data Gathering and Reporting:
  • Assist in retrieving data from various sources and build reports and dashboards to visualize key metrics to system leader and/or assist with creating research datasets
  • Participate in data management tasks by querying and merging datasets.
  • Learn and develop proficiency in data analysis tools and software such as Power BI, R, SQL, Microsoft Office, Python, and others.
Data Extraction and Utilization:
  • Collaborate with the team to develop a fundamental understanding of data sources and the data extraction process.
  • Support team with data extraction and utilization efforts.
  • Assist with contextualizing data and data flow automation.
Collaboration and Learning:
  • Work closely with data analysts and leaders to understand business needs and contribute to data-driven decision-making.
  • Participate in innovative data analysis projects and contribute to the organization's journey towards becoming more data-driven.
Data Analysis Support:
  • Learn and provide support for data analysis tasks, such as data cleaning and statistical analysis.
  • Contribute to data-driven hypothesis testing, A/B testing, regression analysis, and other statistical methods.
Effective Communication:
  • Participate in meetings and assist in presenting basic reports, findings, and analyses to stakeholders within the system.
Promote a team atmosphere by treating individuals with respect and honesty and by using direct communication and active listening skills.
  • Be open to change and actively support change.
  • Be open to others' ideas and points of view.
  • Evaluate employees objectively and provide employees with periodic feedback.
Promote department goals as well as the mission of the hospital.
  • Communicate goals to fellow staff members.
  • Maintain department policies and procedures.
  • Include requirements and guidelines from external agencies (i.e., Joint Commission, State of Wisconsin).
  • Maintain and/or communicate to appropriate party function backlog at a set time.
  • Educate new staff regarding regulations or requirements of those functions that relate to their areas or departments, as directed.
  • Demonstrate acceptance and training of student interns in the department, as directed.
Participate in hospital committees, performance improvement team meetings, and team projects, as directed.
  • Demonstrate punctuality and preparedness.
  • Demonstrate effective communication skills.
  • Demonstrate good organizational skills.
  • Contribute in a positive, solution-focused manner.
Conduct self in a professional manner.
  • Demonstrate organizational skills that promote timely response to all inquiries and to task completion.
  • Communicate with all individuals in a positive and professional manner.
  • Attempt to resolve individual issues with peers in a positive, calm manner, with a focus on solution.
  • Communicate concerns and provide solutions for same.
  • Project a professional image by wearing appropriate, professional attire.
  • Ability to influence departments within Rogers and provide technical guidance.

Additional Job Description:

Requirements/Qualifications
  • Bachelor's degree in a relevant field (e.g., computer science, math/statistics, economics, psychology, etc.).
  • 1-3 years of experience in a data analysis-related role
  • Strong interest in data analysis and a willingness to learn and grow in the field.
  • Experience with data visualization tools (e.g., Power BI, Tableau, Looker, etc.).
  • Experience with at least one statistical programming language (e.g., R, Python, SAS, Stata, etc.).
  • Experience querying data using SQL scripting.
  • Experience with Microsoft Fabric is highly preferrred.
  • A desire to build foundational knowledge in advanced analytic/statistical methods.
  • Exceptional written and verbal communication skills.
  • A meticulous and detail-oriented approach.

With a career at Rogers, you can look forward to a Total Rewards package of benefits, including:

  • Health, dental, and vision insurance coverage for you and your family
  • 401(k) retirement plan
  • Employee share program
  • Life/disability insurance
  • Flex spending accounts
  • Tuition reimbursement
  • Health and wellness program
  • Employee assistance program (EAP)

Through UnitedHealthcare, UMR and HealthSCOPE Benefits creates and publishes the Machine-Readable Files on behalf of Rogers Behavioral Health.To link to the Machine-Readable Files, please visitTransparency in Coverage (uhc.com)


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