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Data Analyst Ai Jobs in Wisconsin (NOW HIRING)

Sr. Data Analyst

Waukesha, WI ยท On-site

$86K - $108K/yr

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.

Sr. Data Analyst

Waukesha, WI ยท On-site

$86K - $108K/yr

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.

WI ยท On-site

$80 - $120/hr

... analysis-ready data models * Build and maintain self-service dashboards and reports that put ... Measure platform adoption, AI tool usage, and ROI across engineering, and communicate findings ...

Data and AI Project Analyst

Oregon, WI ยท On-site

$90 - $120/hr

The Data & AI Project Analyst serves as the fieldโ€‘facing connector between project teams, account leadership, owners/JV partners, and DPR's Technology & Innovation groups. * Engage early to shape ...

Leverage AI and generative-AI tools to accelerate analysis, automate routine tasks, and enhance data products * Translate stakeholder questions into clearly defined analytical problems, prioritizing ...

Leverage AI and generative-AI tools to accelerate analysis, automate routine tasks, and enhance data products * Translate stakeholder questions into clearly defined analytical problems, prioritizing ...

Leverage AI and generative-AI tools to accelerate analysis, automate routine tasks, and enhance data products * Translate stakeholder questions into clearly defined analytical problems, prioritizing ...

Leverage AI and generative-AI tools to accelerate analysis, automate routine tasks, and enhance data products * Translate stakeholder questions into clearly defined analytical problems, prioritizing ...

WI ยท On-site

$110 - $170/hr

... AI systems rely on. the company helps organizations automate data movement across the systems ... Together, we support thousands of organizations as they build a trusted foundation for analytics ...

New

WI ยท On-site

$120 - $190/hr

... AI systems rely on. the company helps organizations automate data movement across the systems ... Together, we support thousands of organizations as they build a trusted foundation for analytics ...

New

If you love digging into data, experimenting with AI tools, and solving real-world problems in a ... Analyze defect trends using tools like AI, machine learning, and statistical modeling to catch ...

If you love digging into data, experimenting with AI tools, and solving real-world problems in a ... Analyze defect trends using tools like AI, machine learning, and statistical modeling to catch ...

Support forecasting and financial planning * Assist in piloting practical AI use cases This is a ... Key Responsibilities 1) Data & Analytics * Develop and maintain dashboards and reports across ...

Utilize data mining and analytics/AI methods to generate key insights into prospects, such as gaps in services, excessive fees, benchmarks for improvements, elevated fiduciary exposure, financial ...

Business Data Analyst - Investments Domain Roles & Responsibilities * Analyze business and system ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

Develop and analyze various data to support Enterprise Transformation initiatives and AI use cases * Supports data preparation for analytic efforts by cleaning data to ensure quality and accuracy ...

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Data Analyst Ai information

See Wisconsin salary details

$14

$39

$68

How much do data analyst ai jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for data analyst ai in Wisconsin is $39.84, according to ZipRecruiter salary data. Most workers in this role earn between $28.75 and $48.27 per hour, depending on experience, location, and employer.

What is a data analyst AI?

A Data Analyst AI is a professional who uses artificial intelligence tools and techniques to analyze and interpret complex data sets. They leverage machine learning algorithms, statistical models, and data visualization tools to uncover trends, patterns, and insights that help organizations make data-driven decisions. In addition to traditional data analysis skills, Data Analyst AI professionals are proficient in programming languages like Python or R and are familiar with AI frameworks. Their work often involves cleaning and preparing data, building predictive models, and communicating findings to stakeholders. This role bridges the gap between data analysis and AI-driven solutions.

How does a data analyst AI typically collaborate with data scientists and engineering teams?

Data Analysts focusing on AI often work closely with data scientists to prepare, clean, and analyze large datasets that feed into machine learning models. They also collaborate with engineering teams to ensure data pipelines are robust and scalable, supporting both ongoing analysis and model deployment. Regular communication and documentation are essential, as insights and findings from the analyst's work often inform model improvements and business decisions. This cross-functional teamwork helps bridge the gap between raw data and actionable AI solutions.

What are the key skills and qualifications needed to thrive as a data analyst AI, and why are they important?

To thrive as a Data Analyst AI, you need strong analytical skills, proficiency in statistics, data visualization, and a solid understanding of machine learning principles, often supported by a degree in a quantitative field. Familiarity with tools such as Python, SQL, R, and AI platforms like TensorFlow or PyTorch, as well as certifications in data analytics or AI, is highly beneficial. Critical thinking, attention to detail, and effective communication help you interpret data insights and present findings to stakeholders. These skills are crucial for extracting meaningful patterns from complex datasets and enabling data-driven decision-making in AI-driven environments.

What is the difference between Data Analyst Ai vs Data Scientist?

AspectData Analyst AiData Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Microsoft Certified Data AnalystBachelor's or Master's in Data Science, Statistics, or related; advanced certifications often preferred
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development, modeling, and complex data analysis
Employer & Industry UsageCorporate, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonOften compared for entry to mid-level roles in data analysisMore advanced, requiring deeper statistical and machine learning skills

Data Analyst Ai and Data Scientist roles share overlapping skills but differ mainly in complexity and scope. Data Analysts Ai focus on interpreting data and creating reports, while Data Scientists develop models and algorithms for predictive analytics. Understanding these differences helps in career planning and job targeting.

How to become a data analyst AI?

To become a data analyst AI, you should develop skills in programming languages like Python or R, learn data manipulation and analysis techniques, and gain experience with machine learning tools and frameworks. Acquiring relevant certifications and understanding data visualization and database management can also enhance your qualifications.

What are the most commonly searched types of Data Analyst Ai jobs in Wisconsin?

The most popular types of Data Analyst Ai jobs in Wisconsin are:

What cities in Wisconsin are hiring for Data Analyst Ai jobs?

Cities in Wisconsin with the most Data Analyst Ai job openings:

Infographic showing various Data Analyst Ai job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,861 per year, or $39.8 per hour.

Sr. Data Analyst

Waukesha, WI โ€ข On-site

Carroll University
Colleges, Universities, and Professional Schoolsย โ€ขย 201 - 500 employees

$86K - $108K/yr

Full-time

Re-posted 26 days ago


Job description

At 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.

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

This position has a hybrid work arrangement - 3 days in office, 2 days remote.