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Data Cleaning Jobs in Wisconsin (NOW HIRING)

Generac

Data Science Analyst

Waukesha, WI

Supports data preparation for analytic efforts by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data. * Translating business requirements; informing ...

Continuus Technologies LLC

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Key ResponsibilitiesAssist in building and maintaining data pipelines (ETL/ELT)Support data ingestion from internal and external sourcesHelp clean, transform, and validate data for analytics ...

Delta Defense

Data Engineer

West Bend, WI · Hybrid

$115K - $139K/yr

Work within systems and infrastructures that collect and process data in order to create clean, tested, and reusable datasets ready for analysis. * Contribute to established standards for performing ...

Delta Defense

Data Engineer

West Bend, WI · Hybrid

$111K - $134K/yr

Work within systems and infrastructures that collect and process data in order to create clean, tested, and reusable datasets ready for analysis. * Contribute to established standards for performing ...

Continuus Technologies LLC

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Key ResponsibilitiesAssist in building and maintaining data pipelines (ETL/ELT)Support data ingestion from internal and external sourcesHelp clean, transform, and validate data for analytics ...

Delta Defense

Data Engineer

West Bend, WI · On-site

$115K - $139K/yr

Work within systems and infrastructures that collect and process data in order to create clean, tested, and reusable datasets ready for analysis. * Contribute to established standards for performing ...

Delta Defense

Data Engineer

West Bend, WI · On-site

$111K - $134K/yr

Work within systems and infrastructures that collect and process data in order to create clean, tested, and reusable datasets ready for analysis. * Contribute to established standards for performing ...

Delta Defense

Data Engineer

West Bend, WI · Hybrid

$111K - $134K/yr

Work within systems and infrastructures that collect and process data in order to create clean, tested, and reusable datasets ready for analysis. * Contribute to established standards for performing ...

MARS Solutions Group

Data Center Technician

Milwaukee, WI · On-site

$30 - $35/hr

MARS Solutions Group is looking for a Data Center Technician. Our client is a (Technology/Financial ... Cleaning Fiber and copper cables * Cleaning and replacing SFPs if needed * Installation and ...

Generac

Senior Data Architect

Waukesha, WI

$67.25 - $90/hr

At Generac, we are committed to building sustainable, cleaner energy technology atscale.You'lljoin ... Lead data architecture discussions and collaborate closely with engineering, product, ML, and ...

Husch Blackwell LLP

Enterprise Data Analyst

Madison, WI · On-site +1

Clean, transform, and structure data to ensure accuracy, consistency, and readiness for analysis * Apply statistical and data-modeling techniques to answer business questions and support decision ...

Husch Blackwell Llp

Enterprise Data Analyst

Madison, WI · On-site +1

Clean, transform, and structure data to ensure accuracy, consistency, and readiness for analysis * Apply statistical and data-modeling techniques to answer business questions and support decision ...

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Showing results 21-40

All JobsData Cleaning JobsData Cleaning Jobs in Wisconsin

Data Cleaning information

See Wisconsin salary details

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$37

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How much do data cleaning jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data cleaning in Wisconsin is $37.89, according to ZipRecruiter salary data. Most workers in this role earn between $15.36 and $60.58 per hour, depending on experience, location, and employer.

What is a data cleaning?

A Data Cleaning job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets to ensure high-quality data for analysis. This process includes removing duplicate records, filling in missing values, standardizing formats, and eliminating irrelevant or erroneous data. Data cleaning helps improve data accuracy, reliability, and usability for business intelligence, machine learning, and decision-making. Professionals in this role typically work with databases, spreadsheets, and data management tools to refine raw data into a structured and meaningful format.

What are the key skills and qualifications needed to thrive in data cleaning, and why are they important?

To thrive in Data Cleaning, you need a strong attention to detail, analytical skills, and a solid understanding of data management practices, often supported by training or coursework in data science, statistics, or information technology. Familiarity with tools like Microsoft Excel, SQL, Python (with libraries such as pandas), or specialized data cleaning software is highly valuable. Excellent problem-solving abilities, persistence, and effective communication are important soft skills for identifying and addressing data inconsistencies while collaborating with other team members. These skills are essential to ensure that datasets are accurate, reliable, and ready for analysis, leading to trustworthy business insights.

What are the most common challenges faced by professionals in data cleaning roles?

One of the biggest challenges in data cleaning is dealing with incomplete, inconsistent, or duplicate data from multiple sources, which often requires creative problem-solving and close attention to detail. Communicating with team members to clarify data definitions and intended use is also a frequent part of the job, as misinterpretations can lead to errors. Additionally, deadlines and large datasets can make the role fast-paced, so strong organizational skills and efficiency are important. However, overcoming these challenges offers valuable experience and plays a crucial role in ensuring the success of projects that depend on high-quality data.

What skills are needed for data cleaning?

Data cleaning requires skills in data analysis, attention to detail, and proficiency with tools like Excel, SQL, or data cleaning software. Knowledge of data formats, basic programming (e.g., Python or R), and understanding of data quality principles are also important for effective data cleaning tasks.

What are the most commonly searched types of Data Cleaning jobs in Wisconsin?

The most popular types of Data Cleaning jobs in Wisconsin are:

What are popular job titles related to Data Cleaning jobs in Wisconsin?

For Data Cleaning jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Data Cleaning jobs in Wisconsin look for?

The top searched job categories for Data Cleaning jobs in Wisconsin are:

What cities in Wisconsin are hiring for Data Cleaning jobs?

Cities in Wisconsin with the most Data Cleaning job openings:

Data Cleaning jobs near you
Infographic showing various Data Cleaning job openings in Wisconsin as of August 2026, with employment types broken down into 83% Full Time, 8% Part Time, and 9% Contract. Highlights an 79% In-person, 5% Hybrid, and 16% Remote job distribution, with an average salary of $78,808 per year, or $37.9 per hour.

Data Science Analyst

Generac Power Systems, Inc.

Waukesha, WI • On-site

Full-time

Re-posted 23 days ago

Job description

We believe power is a promise - a shared commitment to be there for others when it matters most.
For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future.
Ready to Power a Smarter World with us?
In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the Data Analytics and Business Intelligence team.
The Data Science Analyst is responsible for the analysis of structured and unstructured data using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining. The candidate will determine best practices and develop actionable insights and recommendations for the current operations or issues and works closely with the business functional team to identify analytical requirements. The candidate will work on Enterprise data platform and other analytical projects as needed, assist in implementing or developing systems to capture operational information, and may assist less experienced analysts. The candidate must have familiarity with the manipulation of unstructured data in a data analytics environment, and the use of open-source tools, cloud computing, machine learning and data visualization and appropriate, relevant programming languages.
*This is not a remote role, the ideal candidate will need to be located in Wisconsin, due to this position being onsite and reporting into our Waukesha Headquarters*
Minimum Qualifications:
  • Bachelor Degree
  • 1 year work experience in Math, Statistics, or Computer Science

Preferred Qualifications:
  • Relational database experience & Experience query databases (ex: SQL, MySql).
  • Experience with one or more statistical analysis tools (ex: MatLab, MiniTab, SPSS, or R).
  • Experience with statistical analysis languages (ex: R, Python, SQL).
  • Experience on using the cloud platform (ex Azure, AWS..)
  • Experience with building agents using Microsoft CoPilot, and other solution paths

Essential Duties:
  • Develop and analyze various data to support Enterprise Transformation initiatives and AI use cases
  • Supports data preparation for analytic efforts by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.
  • Translating business requirements; informing data/information needs and data collection methods
  • Create custom data models & create pipelines and algorithms as needed & produce Data insights
  • Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation.
  • Supporting end-users; and documenting processes and deliverables
  • Ongoing reports highlighting the initiative progress and successes.

Knowledge and Skills:
  • Ability to write complex SQL queries, data visualization
  • Proficiency in database applications and MS Office with excellent Excel skills.
  • Requires excellent analytical, organization, project management, communication, presentation and people skills with a variety of audiences, up to and including, the executive level.
  • Ability to simplify complex findings to develop unique, practical solutions.
  • Able to understand various data structures and common methods in data transformation.
  • Excellent pattern recognition and predictive modeling skills.
  • Cross/multi-functional understanding of industry, company, and products to enable identification of assumptions and events, and qualification of related risks and opportunities.
  • Self-motivated and able to work with minimal direction

#LI-BB1
Physical Demands: While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders. The employee must occasionally lift up to 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.
"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law."

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