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Data Analyst Jobs in Waterloo, WI (NOW HIRING)

The Data and Analytics Team within the Information Technology department provides enterprise data engineering, analytics, reporting, visualization, and predictive analytics solutions. The team ...

The Data and Analytics Team within the Information Technology department provides enterprise data engineering, analytics, reporting, visualization, and predictive analytics solutions. The team ...

As a Finance Data Analyst, you'll play a critical role in shaping strategies that improve member experiences, streamline operations, and support our mission of financial empowerment. **This position ...

The Logistics Data Analyst will work to identify problem areas and budget deviations in the Company's transportation network. This position will collect and interpret data, identify faults, and ...

Revenue Cycle Analyst I

Middleton, WI · On-site

$63K - $95K/yr

Perform advanced data analysis to identify patterns, trends, and anomalies in the revenue cycle for areas such as claim denials, payment delays, and revenue leakage. * Utilize a variety of analytical ...

Perform advanced data analysis to identify patterns, trends, and anomalies in the revenue cycle for areas such as claim denials, payment delays, and revenue leakage. * Utilize a variety of analytical ...

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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 Sep 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 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.

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 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.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

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

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

Infographic showing various Data Analyst job openings in Waterloo, WI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $79,826 per year, or $38.4 per hour.

Data Analyst

Madison, WI • On-site

Laurits R. Christensen Associates, Inc.
51 - 200 employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Key responsibilities

  • Collect and transform raw data into meaningful statistics, information, and explanations.

  • Clean, analyze, interpret, and display client data using different approaches and tools.

  • Assist senior team members in writing and reviewing reports.


Job description

Christensen Associates is looking for a full-time Data Analyst I to join our Madison, Wisconsin team. In this role, you will join a larger team of analysts to solve complex, real-world problems for a large logistics client.

Candidates must be willing and able to work in our Madison, Wisconsin office. This is not a remote position.

Candidates must be legally authorized to work in the U.S. for any employer. We are unable to sponsor individuals for a work visa or other employment authorization at time of hire or in the future (e.g., H-1B, green card, etc.).

Key Responsibilities:
  • Collect and transform raw data into meaningful statistics, information, and explanations.
  • Clean, analyze, interpret, and display client data using different approaches and tools.
  • Troubleshoot data issues when they arise and find creative solutions to complex problems.
  • Learn one or more areas of our client’s operations and their corresponding data sets and use that knowledge to answer questions.
  • Assist senior team members in writing and reviewing reports.
  • Provide data to others to fulfill project requirements (e.g., cost models, pricing strategies, regulatory reporting, and/or productivity measurement reports).
  • Identify and recommend process improvements and efficiencies.
Qualifications:
  • Bachelor’s or master’s degree in computer/data science, data analytics, economics, statistics, math, or similar with a history of strong academic performance. We are willing to consider December 2026 graduates, however, preference will be given to those who have graduated.
  • Analytically and technically minded with the aptitude, ability, and interest in solving complex problems and learning new things.
  • Knowledgeable in data analysis concepts (e.g., data cleaning, aggregation, visualization, etc.)
  • Proficient in the Microsoft Office Suite (with intermediate knowledge of Excel) and software used for data manipulation (e.g., Python, SQL, SAS, or similar).
  • Strong communication skills (verbal and written), organizational skills, and a rigorous attention to detail.
  • Able to work independently and as part of a team in a deadline-driven environment while handling multiple competing priorities.
  • Successful completion of a federal security clearance including drug screen and background check is required.
Why you should join our team:
  • Meaningful work – You’llwork alongside highly experienced experts to solve complex, real‑world problems using creativity, scientific rigor, and deep institutional knowledge.Our small teams and our flat organizational structure allow us to prioritize quick, direct contact with clients, allowing you to build relationships, understand client needs, and see the results of your work in real time.
  • Our ESOP sets us apart – Working at an employee-owned company meansyou’remore than just an employee, you’rean owner. Through the ESOP, you build real equity over time at no out-of-pocket cost, turning your everyday work into long-term financial growth. As the company succeeds, so do you. ESOPs also foster a culture of accountability, collaboration, and shared purpose, because everyone has a stake in the outcome. The result is a more transparent, motivating, and rewarding place to grow your career while building meaningful wealth for the future.
  • Total rewards package – We offer health, dental, vision, life/AD&D, long-term disability, a 401(k), and agenerous ESOP contributionthat grows as we grow.You’llalso receive paid holidays, vacation,sick, and personal time.We offer minimal travel,a casualdress code, private offices, and amenities like underground parking. Flexible schedules and comp time for hours over 40 support a healthy balance between work and life.
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