1

Data Analyst Jobs in Kenosha, WI (NOW HIRING)

Data Analyst As a Data Analyst in our client's Genomics Research Center's Bioinformatics Engineering team, you will be responsible for developing and running workflows to standardize and load project ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Data Analyst

Lake Forest, IL · On-site

$30 - $35/hr

Data Analyst / Report Developer Lake Forest, IL Hybrid role (Onsite 3x/week) $30-$35 per hour ABOUT THE ROLE Join as a Data Analyst / Report Developer (Label Conversion) and play a key role in a ...

Data Analyst A data analyst's main responsibilities include collecting, processing, and analyzing large datasets to extract meaningful insights. They create reports, use statistical methods to ...

Data Analyst A data analyst's main responsibilities include collecting, processing, and analyzing large datasets to extract meaningful insights. They create reports, use statistical methods to ...

A data analyst's main responsibilities include collecting, processing, and analyzing large datasets to extract meaningful insights. They create reports, use statistical methods to identify trends and ...

Manufacturing Data Analyst Employment Status: Full-Time, Salaried/Exempt Location: Waukegan, IL Schedule: Onsite daily Monday through Friday from 8 am - 5 pm CT. Salary: $75,000 - $95,000 Position ...

Manufacturing Data Analyst Employment Status: Full-Time, Salaried/Exempt Location: Waukegan, IL Schedule: Onsite daily Monday through Friday from 8 am - 5 pm CT. Salary: $75,000 - $95,000 Position ...

Job Title Uses appropriate tools to collect, correlate and analyze data for use in (1) improving team and individual quality and productivity, (2) aid in the optimization of current business ...

Uses appropriate tools to collect, correlate and analyze data for use in (1) improving team and individual quality and productivity, (2) aid in the optimization of current business practices and (3) ...

Job Title Uses appropriate tools to collect, correlate and analyze data for use in (1) improving team and individual quality and productivity, (2) aid in the optimization of current business ...

Business Data Analyst Waukegan, IL 60085 $82,000 - $124,000 Salary Additional opportunities for growth Training/development programs Incentives/bonus for meeting goals A Lot of Tenure. Company ...

Business Data Analyst Waukegan, IL 60085 $82,000 - $124,000 Salary Additional opportunities for growth Training/development programs Incentives/bonus for meeting goals A Lot of Tenure. Company ...

next page

Showing results 1-20

Data Analyst information

See Kenosha, WI salary details

$33.2K

$80.6K

$132.7K

How much do data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for data analyst in Kenosha, WI is $80,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $94,600.00 per year, depending on experience, location, and employer.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are the most commonly searched types of Data Analyst jobs in Kenosha, WI? The most popular types of Data Analyst jobs in Kenosha, WI are:
What are popular job titles related to Data Analyst jobs in Kenosha, WI? For Data Analyst jobs in Kenosha, WI, the most frequently searched job titles are:
What job categories do people searching Data Analyst jobs in Kenosha, WI look for? The top searched job categories for Data Analyst jobs in Kenosha, WI are:
What cities near Kenosha, WI are hiring for Data Analyst jobs? Cities near Kenosha, WI with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Kenosha, WI as of May 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $80,617 per year, or $38.8 per hour.
Data Analyst

Data Analyst

Samprasoft

Great Lakes, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Data Analyst

As a Data Analyst in our client’s Genomics Research Center’s Bioinformatics Engineering team, you will be responsible for developing and running workflows to standardize and load project datasets in a centralized environment. You will work closely with Bioinformatics Engineering, as well as therapeutic area facing bioinformatics research scientists to leverage common data models, and support GRC Bioinformaticians’ needs for loading and querying. Your expertise in PostgreSQL for database management and Python and R for scripting and automation will be crucial in developing and maintaining ETL processes to ensure data quality and integrity.

Responsibilities
  • Develop and maintain a functional understanding of the GRC common data models, loading processes, and requirements, and perform accurate and efficient loading of new and historical datasets into the GRC’s Omics Data Server.
  • Collaborate with Bioinformatics Engineers to develop and implement additional data loading workflows.
  • Partner with Bioinformatics research scientists to identify, process, and load project data into the common data models.
  • Build and execute ETL processes to integrate non-GRC generated high-value datasets into the common data models.
  • Keep thorough documentation for tracking datasets and loading tasks.
  • Ensure reproducibility and facilitate collaboration with team members by documenting and versioning code with git.
Qualifications
  • Bachelor's degree in computer science, bioinformatics, or a related field +3 years of experience.
  • Experience with building and running workflows for RDMS data loading and ETL processes.
  • Proficient in PostgreSQL (or equivalent) and ability to write complex queries for data extraction and analysis.
  • Strong programming skills in Python for scripting and automation. Additional experience with R is preferred.
  • Familiarity with genomic data formats and databases commonly used in bioinformatics research.
  • Knowledge of data modeling concepts and implementing common data models in a relational database.
  • Familiarity with data cleaning, normalization, and quality control processes.
  • Excellent communication skills and ability to collaborate with researchers and stakeholders.