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Data Analyst Jobs in Waterloo, WI (NOW HIRING)

Springs Window Fashions

CPQ Administrator

Middleton, WI · On-site

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The IT Product Configuration Business Analyst (Modeler) translates customer design choices into ... Data & Rule Quality Assurance * Conduct testing to ensure correct rule execution, error handling ...

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Showing results 21-29

All JobsData Analyst JobsData Analyst Jobs in Waterloo, WI

Data Analyst information

See Waterloo, WI salary details

$32.8K

$79.8K

$131.4K

How much do data analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data analyst in Waterloo, WI is $79,826.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $93,700.00 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.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

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 work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

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 top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

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.
More about Data Analyst jobs

What cities near Waterloo, WI are hiring for Data Analyst jobs?

Cities near Waterloo, WI with the most Data Analyst job openings:

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Waterloo, WI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $79,826 per year, or $38.4 per hour.

Contract Meta Data Business Analyst 2

Sundial Software

Madison, WI • On-site

Full-time

Posted 5 days ago

Job description

The State of Wisconsin DCF is looking for one (1) Data Warehouse Analyst II
Top skills:
• Experience in metadata discovery and documentation (5+ years)
• Experience in data profiling (5+ years)
• Experience in data quality assessment and identification (5+ years)
• Advanced experience in SQL and Python (3+ years)
• Interviews will be set up shortly after the posting close date.
• MUST provide three (3) business references for the interview. (One reference must be a supervisory level.)
IMPORTANT NOTES:
• Candidate MUST be physically located in the United States. International candidates/phone numbers will not be accepted.
• Candidate must follow ALL DCF work rules
• Candidate must be available to perform all work during the Central Standard Time (CST) business hours 9:00 am - 3 pm (or CST hours as defined by the hiring manager)
• Candidate will be required to provide their own equipment for this position (See job description for required specifications.)
Onsite, hybrid or remote: WI residency required. Must be WI resident or willing to relocate within 30 days of start date at own expense. 90-100% remote but can require staff to come onsite as necessary with sufficient notice. Onsite work is not likely, but candidate should be prepared to come onsite if required.
Duration: This is a limited engagement expected to end 12/31/2026, but could be extended. Cannot currently confirm the likelihood of extension.
Project details: This position will be responsible for the assessment of data quality and metadata within DCF data architecture. They will be responsible for the data profiling, analysis and documentation of data quality. Experience with Human Services business intelligence is desirable.

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