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Data Analyst Jobs in Fort Atkinson, WI (NOW HIRING)

Sr. Data Analyst

Waukesha, WI ยท On-site +1

$86K - $108K/yr

The Senior Data Analyst is a strategic and technical role within Information Technology responsible for advancing the institution's data analytics, reporting, and decision-support capabilities. This ...

Data Analyst II

Waukesha, WI ยท On-site

$21.60/hr

Data Analyst II Waukesha, WI, USA, 53188 $21.60/hr on w2 12/12/2016 to 06/16/2017 Global Services role supporting data analysis on trapped parts within the GEHC network. The primary goal of this will ...

Data Scientist Analyst Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week, fostering collaboration and connectivity, while providing flexibility to support ...

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work ...

Cross-Sell Data Analyst The cross-sell data analyst is responsible for identifying cross-sell opportunities within the producer's book across all business lines for the region by analyzing both ...

Senior Platform & Analytics Analyst

Waukesha, WI ยท On-site

$86K - $108K/yr

The Senior Analytics and Platform Analyst will play an important role in driving data-driven decision-making and digital enablement across the organization. You are responsible for delivering ...

Pharmacy Analyst III

Madison, WI ยท On-site

$78K - $134K/yr

Data Mining and Report Development * Leverage analytical tools in the collection, analysis and reporting of pharmacy data, pharmacy trends, and key performance metrics * Data Analysis and Report ...

Data Analyst information

See Fort Atkinson, WI salary details

$31K

$75.4K

$124.1K

How much do data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data analyst in Fort Atkinson, WI is $75,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $88,500.00 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 are the most commonly searched types of Data Analyst jobs in Fort Atkinson, WI?

The most popular types of Data Analyst jobs in Fort Atkinson, WI are:

What are popular job titles related to Data Analyst jobs in Fort Atkinson, WI?

For Data Analyst jobs in Fort Atkinson, WI, the most frequently searched job titles are:

What job categories do people searching Data Analyst jobs in Fort Atkinson, WI look for?

The top searched job categories for Data Analyst jobs in Fort Atkinson, WI are:

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

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

Infographic showing various Data Analyst job openings in Fort Atkinson, WI as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $75,415 per year, or $36.3 per hour.

Sr. Data Analyst

Carroll University

Waukesha, WI โ€ข On-site, Remote

$86K - $108K/yr

Full-time

Re-posted 15 days ago


Job description

t Carroll University, we are committed to identifying and employing strategies to support our goal to be and remain a socially just organization. Rooted in the Presbyterian (U.S.A.) heritage, we respect all aspects of diversity, embrace the practice of equity, expect inclusion, and embrace belonging throughout our community. Therefore, we seek applicants who can demonstrate their understanding of justice and who can inspire our increasingly diverse student population.

The Senior Data Analyst is a strategic and technical role within Information Technology responsible for advancing the institution's data analytics, reporting, and decision-support capabilities. This position partners closely with academic and administrative departments to analyze data, develop actionable insights, improve data quality, and support data-informed decision-making across the institution. The Senior Data Analyst designs and develops enterprise reporting solutions, dashboards, data models, and analytics frameworks while helping establish data governance standards and best practices. This role serves as a bridge between business stakeholders and technical teams to ensure institutional data is accurate, accessible, secure, and aligned with strategic goals. The position requires strong analytical, communication, and problem-solving skills, along with experience working with ERP systems, data visualization tools, SQL, and modern analytics platforms in a collaborative higher education environment.

Hybrid and remote options available for this role.

Responsibilities:

  • Design, develop, and maintain enterprise dashboards, reports, and data visualizations for academic and administrative departments.
  • Translate complex business requirements into meaningful analytics and reporting solutions.
  • Support institutional data governance initiatives, including data quality, integrity, stewardship, and standardization efforts.
  • Partner with stakeholders to establish consistent reporting definitions, business rules, and data standards.
  • Assist in maintaining enterprise data models, data dictionaries, and metadata documentation.
  • Promote responsible and secure use of institutional data in alignment with compliance and privacy requirements.
  • Assist departments seeking to improve operational effectiveness through data insights.
  • Assist with prioritizing analytics initiatives.
  • Work with enterprise systems including ERP/SIS, CRM, HRIS, LMS, and other institutional applications to support data integration and reporting.
  • Develop and optimize SQL queries, data pipelines, and automated reporting processes.
  • Support analytics and business intelligence platforms such as Power BI, or similar tools.
  • Assist in evaluating emerging analytics, AI, and data technologies that improve institutional effectiveness.
  • Identify opportunities to improve reporting efficiency, automation, and data accessibility.
  • Participate in cross-functional IT and institutional projects related to data, reporting, and process improvement.
  • Complete other duties as assigned.

Qualifications:

Education and/or Experience:

Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business, Mathematics, Statistics, or related field.

5+ years of experience in data analytics, business intelligence, institutional research, or related analytics roles.

Experience working in higher education environments, desired.

Strong experience with SQL and relational databases.

Strong analytical, problem-solving, and communication skills.

Ability to explain technical concepts and analytics insights to non-technical audiences.

Experience supporting institutional effectiveness, enrollment analytics, student success, or operational reporting initiatives.

Technical Skills:

Experience developing dashboards and reports using Power BI, Tableau, or similar BI tools.

Experience working with enterprise applications such as ERP, SIS, CRM, or HRIS systems.

Familiarity with Ellucian, Anthology, Workday, Salesforce, or similar higher education platforms.

Experience with data warehousing, ETL/integration processes, or cloud analytics platforms.

Knowledge of data governance, compliance, and privacy practices.

Exposure to predictive analytics, AI, or machine learning concepts.

Human Relations Skills:

Ability to work effectively with people regardless of their age, gender, race, sexual orientation,ethnicity, religion, ability, socio-economic background, or job type.

Effective interpersonal and communication skills with the ability to collaborate across teams and contribute to problem-solving efforts.

Clear and professional written and verbal communication skills suited for both technical and non-technical audiences.

Strong commitment to delivering responsive and respectful customer service.

Ability to stay focused, organized, and productive when working under deadlines or during periods of high activity.

Adaptable and able to manage shifting priorities in a dynamic work environment.

Skilled in managing multiple assignments and projects simultaneously with minimal oversight.

Equally comfortable working independently or as part of a collaborative team.

Demonstrated ability to build and maintain positive working relationships with a wide range of colleagues and stakeholders.

Candidates must be willing and able to support and advance the University mission.

Compliance:

Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at the Department of Public Safety, at 239 North East Ave., Waukesha, WI 5318