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Data Analyst Jobs in Racine, WI (NOW HIRING)

PLM Data Analyst Location: Onsite Critical in Racine, WI Duration: 6 Months Hours: Flexibility within core business hours of 9-3 SUMMARY Role is "more critical thinking as data detective on one piece ...

As a Commissions Data Analyst, you'll play a key role within Baird's Operations organization, supporting the accurate and timely processing of commission data that drives advisor compensation. This ...

Casino Data Analyst

Waukegan, IL · On-site

$72K - $116K/yr

Advanced skills in querying, analyzing, and visualizing large data sets. Proficiency in SQL and ideally one or more of the following programming languages: R, VBA, SAS, Python, and experience in ...

Casino Data Analyst

Waukegan, IL · On-site

$72K - $116K/yr

Advanced skills in querying, analyzing, and visualizing large data sets. Proficiency in SQL and ideally one or more of the following programming languages: R, VBA, SAS, Python, and experience in ...

Advanced skills in querying, analyzing, and visualizing large data sets. Proficiency in SQL and ideally one or more of the following programming languages: R, VBA, SAS, Python, and experience in ...

As a Data Analyst , you'll be part of a collaborative, forward-thinking team that partners closely with business leaders. You'll use modern data tools to uncover insights, tell compelling data ...

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Data Analyst information

See Racine, WI salary details

$31.9K

$77.5K

$127.5K

How much do data analyst jobs pay per year?

As of Jul 2, 2026, the average yearly pay for data analyst in Racine, WI is $77,490.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $91,000.00 per year, depending on experience, location, and employer.

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 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.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

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.

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 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 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.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analyst jobs in Racine, WI? The most popular types of Data Analyst jobs in Racine, WI are:
What job categories do people searching Data Analyst jobs in Racine, WI look for? The top searched job categories for Data Analyst jobs in Racine, WI are:
What cities near Racine, WI are hiring for Data Analyst jobs? Cities near Racine, WI with the most Data Analyst job openings:

$84K - $106K/yr

Full-time

Posted 19 days ago


Job description

Company Description
The mission of the Medical College of Wisconsin is to be a national leader in the education and development of the next generation of physicians and scientists; to discover and translate new knowledge in the biomedical sciences; to provide cutting-edge, interdisciplinary and compassionate clinical care of the highest quality; to improve the health of the communities we serve. Founded in 1893 as the Wisconsin College of Physicians and Surgeons. Formerly associated with Marquette University.
Job Description
Data Analyst Sr
Qualifications
Data Analyst Sr
Additional Information
All your information will be kept confidential according to EEO guidelines.