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Data Visualization Analyst Jobs in Wisconsin (NOW HIRING)

... data visualization tools like Tableau or Power BI. • Analytical/ Decision Making Responsibilities • Analytical ability to manage multiple projects and prioritize tasks into manageable work ...

New

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Data Engineer

Milwaukee, WI · On-site

$112.80K - $135.50K/yr

... analytic solutions, including the data warehouse, data visualization tools and operational reporting solutions. 2. Responsible for end-to-end solution architecture and development, from modeling ...

As our Master Data Analyst , you'll own the integrity and structure of material master data across ... Exposure to business intelligence or data visualization tools -- Power BI, Tableau, or similar

As our Master Data Analyst , you'll own the integrity and structure of material master data across ... Exposure to business intelligence or data visualization tools - Power BI, Tableau, or similar

As our Master Data Analyst , you'll own the integrity and structure of material master data across ... Exposure to business intelligence or data visualization tools - Power BI, Tableau, or similar

Experience with data visualization tools like Tableau or Power BI. * Analytical/ Decision Making Responsibilities * Analytical ability to manage multiple projects and prioritize tasks into manageable ...

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Data Visualization Analyst information

See Wisconsin salary details

$34.3K

$83.4K

$137.3K

How much do data visualization analyst jobs pay per year?

As of May 31, 2026, the average yearly pay for data visualization analyst in Wisconsin is $83,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 per year, depending on experience, location, and employer.

What is a Data Visualization Analyst job?

A Data Visualization Analyst is responsible for transforming complex data sets into clear, engaging visual representations that help stakeholders make data-driven decisions. They use tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) to create charts, graphs, and dashboards. Their role combines data analysis, storytelling, and design principles to present insights effectively. They collaborate with data scientists, business analysts, and decision-makers to ensure data is accurately represented and actionable.

What are the key skills and qualifications needed to thrive in the Data Visualization Analyst position, and why are they important?

To thrive as a Data Visualization Analyst, you need strong analytical skills, experience in data interpretation, and a relevant degree in fields such as statistics, computer science, or information systems. Proficiency with visualization tools like Tableau, Power BI, or D3.js, as well as knowledge of SQL and Excel, is highly valued, and certifications in these platforms can enhance your qualifications. Excellent communication, attention to detail, and a collaborative mindset help you translate complex data into meaningful visual stories for stakeholders. These abilities are essential to ensure data-driven decisions are clearly understood and actionable across various departments.

What are the typical daily responsibilities of a Data Visualization Analyst?

As a Data Visualization Analyst, your day typically involves collecting, cleaning, and organizing data from various sources, followed by designing and creating dashboards or reports that convey insights to both technical and non-technical stakeholders. You’ll collaborate closely with data engineers, business analysts, and department leaders to understand their needs and tailor visualizations accordingly. Regularly, you will review and update dashboards to ensure data accuracy and relevancy, and may also provide training or support to colleagues on interpreting and using visual tools. This role offers a dynamic work environment where problem-solving and creativity are key to turning complex datasets into clear, actionable information.
What are the most commonly searched types of Data Visualization Analyst jobs in Wisconsin? The most popular types of Data Visualization Analyst jobs in Wisconsin are:
What job categories do people searching Data Visualization Analyst jobs in Wisconsin look for? The top searched job categories for Data Visualization Analyst jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Visualization Analyst jobs? Cities in Wisconsin with the most Data Visualization Analyst job openings:
Infographic showing various Data Visualization Analyst job openings in Wisconsin as of May 2026, with employment types broken down into 1% Internship, 4% As Needed, 18% Full Time, 73% Part Time, 3% Temporary, and 1% Nights. Highlights an 35% Physical, 55% Hybrid, and 10% Remote job distribution, with an average salary of $83,413 per year, or $40.1 per hour.
Data Scientist

Data Scientist

Deloitte

Milwaukee, WI • On-site

Full-time

Posted 2 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Job Summary:
Deloitte is a leading consulting firm seeking an experienced Data Scientist to work in a collaborative environment. The role involves identifying business problems, developing machine learning models, and communicating insights to stakeholders while focusing on delivering data-driven solutions for clients.
Responsibilities:
• Work with stakeholders to identify business problems and formulate them as data science challenges.
• Collect, clean, and explore large datasets to uncover trends and patterns.
• Develop and train machine learning models to solve problems such as prediction, classification, and clustering.
• Validate and deploy models into production environments.
• Communicate findings and insights to technical and non-technical audiences through data visualization and presentations.
• Stay up to date with the latest trends and technologies in data science and machine learning.
• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others
• Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
• Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes
Qualifications:
Required:
• Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
• 5+ Years of Experience in a Data Science or Machine Learning role.
• 5+ Years of Experience Proficiency in programming languages such as Python or R.
• 5+ Years of Experience with Strong knowledge of machine learning techniques and algorithms.
• 5+ Years of Experience with data manipulation and analysis libraries like pandas and NumPy
• Limited immigration sponsorship may be available
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
Preferred:
• Master's or Ph.D. in a relevant field.
• Experience with big data technologies like Spark or Hadoop.
• Experience with deep learning frameworks like TensorFlow or PyTorch.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience with data visualization tools like Tableau or Power BI.
• Analytical/ Decision Making Responsibilities
• Analytical ability to manage multiple projects and prioritize tasks into manageable work products
• Can operate independently or with minimum supervision
• Excellent Written and Communication Skills
• Ability to deliver technical demonstrations
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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