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Ai Data Analytics Jobs in Wisconsin (NOW HIRING)

Hammes Company

Business Analyst

Milwaukee, WI · On-site

... data, analytics, systems, AI tools, or software development. Principal Duties and Responsibilities This list of duties and responsibilities is not all inclusive and may be expanded to include other ...

landmarkcu

VP, Analytics & AI

Brookfield, WI · On-site

This position leads the development of modern data and analytics capabilities, including business intelligence, advanced analytics, machine learning, automation, and responsible AI practices. The VP, ...

Landmark Credit Union

VP, Analytics & AI

Brookfield, WI · On-site

This position leads the development of modern data and analytics capabilities, including business intelligence, advanced analytics, machine learning, automation, and responsible AI practices. The VP, ...

MTE Corporation

FP&A Data Analyst

Menomonee Falls, WI · On-site

Develop data models and dashboards * Support forecasting and financial planning * Assist in ... Working capital and inventory insights 3) AI & Advanced Analytics (Development Focus) * Support ...

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How much do ai data analytics jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for ai data analytics in Wisconsin is $55.26, according to ZipRecruiter salary data. Most workers in this role earn between $44.42 and $62.60 per hour, depending on experience, location, and employer.

What is AI data analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.

What skills and qualifications are needed to thrive as an AI data analyst?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

How does an AI data analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

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

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

Is data analysis a good career with AI?

A career in AI Data Analytics is considered promising due to the increasing demand for data-driven decision making and AI integration across industries. Professionals in this field need strong skills in data manipulation, statistical analysis, and tools like Python or R. The role offers growth opportunities, competitive salaries, and the chance to work on innovative technologies.

What does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to extract insights that inform business decisions. They use tools like Python, R, and machine learning algorithms to identify patterns and trends, often working closely with data engineers and data scientists to develop predictive models and automate data workflows.

What are popular job titles related to Ai Data Analytics jobs in Wisconsin?

For Ai Data Analytics jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Ai Data Analytics jobs in Wisconsin look for?

The top searched job categories for Ai Data Analytics jobs in Wisconsin are:

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

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

Ai Data Analytics jobs near you
Infographic showing various Ai Data Analytics 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 $114,938 per year, or $55.3 per hour.

AI Data & Analytics (MarTech) Manager

Foley & Lardner LLP

Milwaukee, WI • Hybrid

Full-time

Re-posted 10 days ago

Job description

Overview

Foley & Lardner LLP is a great place to work because of what we do and how we do it. Here, your unique perspectives, experiences, and abilities will be embraced and developed, so you can excel. Being a part of Foley means having the opportunities and resources necessary to gain experience, advance professional goals, and forge meaningful connections. It's a place where you can build your career and enjoy professionally satisfying work. We have over 2,300 people who are #HappyatFoley, and we think you will be too.

The Manager, Marketing Technology (AI Data & Analytics) will be responsible for strategic marketing and business development data analysis of data stored within Foley's Customer Relationship Management (CRM) system and other sources as needed to help identify the best possible revenue and operational efficiency opportunities. This Manager will be heavily involved in marketing technology and using AI to enhance, analyze, and output strategic data and further to ensure the right types of data are collected and stored with data hygiene guardrails and rules to ensure quality of data.  To that end, a part of this role will be analyzing the current state of data quality and making recommendations to improve the data. The incumbent understands leading marketing technology practices across the B2B marketing industry.  This role also requires a significant investment in data analytics and the Manager should be highly focused on finding new ways to use strategic data to give Foley a competitive advantage in the legal industry. 

Responsibilities
  • Ensure quality of data across marketing and other Foley systems.
  • Identify novel uses of AI to analyze and source data for strategic analysis and generating demand.
  • Use AI to enhance and enrich our data in addition to analyzing data and finding strategic opportunities.
  • Develop guardrails, processes, and quality controls for long term data hygiene.
  • Work with vendors to help improve the quality of our data.
  • Identify strategic opportunities for the firm through the analysis of data.
  • Work with others in the BD&M department and across the firm to help proactively use data to drive the business.
  • Ensure system controls are in place to help preserve and enhance the overall quality of data.
  • Create and run reports on a regular basis to provide updated data to various departments.
  • Create, manage, and follow data standards, processes and procedures.
  • Commit to high standards for data quality and strive for precision, accuracy and efficiency.
  • Look for, implement, and use tools that help better analyze data available for strategic marketing.
  • Provide superior client service to end users.
Qualifications
  • Bachelor's Degree required. #LI-Hybrid 
  • Minimum of seven (7) years of progressive experience within marketing technology, IT and/or data analytics required. 
  • Professional services experience preferred. 
  • Familiarity with using CRM and AI tools within data analytics is a plus.

In support of transparency and equity in the workplace, Foley provides salary ranges for all positions. The figures below represent the full compensation range of this position. The actual offered amount will be between the range minimum and midpoint based on the following factors: education, experience, geographic market, and internal pay equity at Foley. We are accepting ongoing applications. We are accepting ongoing applications.   Foley & Lardner LLP will consider qualified applicants with criminal histories in a manner consistent with California's Fair Chance Act.Milwaukee - $116,900 to $175,400San Diego, Denver, Dallas, Houston, Chicago - $128,600 to $192,900

Los Angeles - $134,400 -$201,700Boston, Washington D.C. - $140,300 to $210,500

Employment Type: FULL_TIME

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