1

Data Jobs in Wisconsin (NOW HIRING)

Data Architect

North Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

Job Information Job Title Data Architect Home Department: Information Technology Employment Status: Exempt; Full-time Schedule: Flexible Scheduling Opportunities Position Location: Remote/Hybrid ...

Data Modeler

Oak Creek, WI · On-site

$52.25 - $67.75/hr

We are seeking a highly skilled and detail-oriented Data Modeler to join our data architecture and engineering team. In this pivotal role, you will be responsible for designing, developing, and ...

Data Architect

Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

Job Information Job Title Data Architect Home Department: Information Technology Employment Status: Exempt; Full-time Schedule: Flexible Scheduling Opportunities Position Location: Remote/Hybrid ...

Data Architect

Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

Data Architect Protecting our policyholders' dreams, passions, and livelihoods has a direct impact on the communities we serve. We work towards excellence, conduct ourselves with high integrity, and ...

This is MLG's first-ever Data Analyst hire, supporting the modernization of reporting, analytics, and data operations across the firm. Role Overview This position will serve multiple business lines ...

Data Architect

Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

Job Information Job Title Data Architect Home Department: Information Technology Employment Status: Exempt; Full-time Schedule: Flexible Scheduling Opportunities Position Location: Remote/Hybrid ...

Data Architect

Racine, WI · On-site

$59.75 - $77/hr

Data ingestion, Data Management, Data Delivery, Data Consumption. Key Responsibilities Outcomes: 1. Architect, design and implement high performance large volume data integration, transformation ...

Data Architect

Racine, WI · On-site

$67/hr

Define and govern enterprise data architecture standards, frameworks, and best practices. * Design scalable and high-performance data platforms supporting reporting, analytics, and advanced data use ...

The Data Analyst plays an essential role in supporting data gathering, analysis, and report development. This position will utilize data and develop reports, while also being dedicated to learning ...

Data Architect

Racine, WI · On-site

$59.75 - $77/hr

Data Architect Requirement/Must Have: * 10+ years of experience in Data Architecture. * 5+ years of experience in Databricks Architecture. * 4+ years of experience in BI platforms. Responsibilities:

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis ...

Data Architect

Milwaukee, WI · On-site

$62.75 - $80.75/hr

Data Architect Cheers to creating an incredible tomorrow! At Molson Coors, we tackle big challenges and defy the status quo. With a proud legacy of excellence, an incredible portfolio of beer ...

This is MLG's first-ever Data Analyst hire, supporting the modernization of reporting, analytics, and data operations across the firm. Role Overview This position will serve multiple business lines ...

Data Analyst

Madison, WI · Remote

$115K/yr

We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting solutions to drive sound business decision-making. This position requires deep expertise in Power BI, data ...

This is MLG's first-ever Data Analyst hire, supporting the modernization of reporting, analytics, and data operations across the firm. Role Overview This position will serve multiple business lines ...

As a Data Scientist your work may be focused in a variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization methods ...

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis ...

Data Architect

Milwaukee, WI · Hybrid

$62.75 - $80.75/hr

In the role of Data Architect working in Milwaukee, WI you will be part of the Data Integration and Management team. The person will partner with business leaders to assess requirements, define ...

next page

Showing results 1-20

Data information

See Wisconsin salary details

$46.4K

$166.6K

$245.8K

How much do data jobs pay per year?

As of Jul 8, 2026, the average yearly pay for data in Wisconsin is $166,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,700.00 and $171,600.00 per year, depending on experience, location, and employer.

What do data jobs do?

Data jobs involve collecting, analyzing, and interpreting data to help organizations make informed decisions. Roles such as data analysts and data scientists use tools like SQL, Python, or R to process large datasets and generate insights. These jobs often require strong analytical skills and knowledge of data management and visualization techniques.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

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 solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What Are Different Jobs That Work With Data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What is the definition of data?

Data in a data-related job refers to raw, unprocessed facts and figures collected for analysis, decision-making, or processing. It can include numbers, text, images, or other information stored and managed using tools like databases and data analysis software. Understanding data is essential for tasks such as data cleaning, interpretation, and reporting.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What skills are needed for data jobs?

Data jobs typically require strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of database management and SQL. Familiarity with data visualization tools like Tableau or Power BI and understanding of statistical methods are also important. Additionally, problem-solving abilities and attention to detail are essential for success in this field.

What are the 4 types of data?

In data-related jobs, the four main types of data are structured data, which is organized in databases and spreadsheets; unstructured data, such as emails, videos, and social media content; semi-structured data, like XML or JSON files that have some organization; and metadata, which provides information about other data. Understanding these types helps data professionals manage, analyze, and interpret data effectively using tools like SQL, Python, or data visualization software.

What is data on my phone?

Data on your phone refers to the digital information stored or transmitted by your device, including apps, files, and internet activity. For a data-related job, understanding how data is collected, managed, and secured is essential, often involving skills in data analysis, database management, and cybersecurity. Managing phone data may also require knowledge of mobile operating systems and data privacy practices.

What are the synonyms of data?

For a data analyst or data scientist, synonyms of data include information, figures, statistics, metrics, and records. These terms are often used interchangeably depending on the context and type of data being handled, and familiarity with data management tools like SQL or Excel can aid in working with these concepts.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs and CFOs. These positions often require extensive experience, advanced degrees, and strong industry networks, with compensation frequently including bonuses and stock options.
What are the most commonly searched types of Data jobs in Wisconsin? The most popular types of Data jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data jobs? Cities in Wisconsin with the most Data job openings:
Infographic showing various Data job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $166,561 per year, or $80.1 per hour.
VARIABLE DATA PROGRAMMER

VARIABLE DATA PROGRAMMER

Telephone & Data Systems

Waunakee, WI • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Telephone and Data Systems rating

7.9

Company rating: 7.9 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

23rd of 80 rated telecommunications companies


Job description

Variable Data Programmer

Are you looking for a career with a great company? We are looking for a Variable Data Programmer to join our award-winning team! The ideal candidate is very detail oriented with experience in data manipulation, USPS regulations, list processing and data management. Suttle-Straus, is a premier provider of printing, digital imaging, wide format, mailing, custom kitting, warehousing, and distribution services. Our success is founded on three core principles: A clear focus on meeting and exceeding customer expectations; a long history of implementing new technologies to increase quality and efficiency; and the importance of building an outstanding workforce. Suttle-Straus offers a collaborative work environment, great benefits and fantastic co-workers.

We offer a competitive benefits package with immediate eligibility for health, dental, vision and life insurance, and eligibility after 30 days for a company matched 401(k) plan. Paid time off accrues monthly from date of hire.

Responsibilities

The Variable Data Programmer is responsible for developing and programming personalized print and mail communications through variable data composition and document setup. This role focuses on translating client requirements into efficient, accurate, and visually effective variable print solutions for production.

Responsibilities include setup and programming of variable text, graphics, and layout logic for personalized mailings, as well as preparing and standardizing client-supplied data for use within composition workflows. The Variable Data Programmer works closely with internal teams to interpret project requirements and implement effective production methodologies for simple to more complex variable campaigns.

This is a technical, production-focused position requiring strong attention to detail and the ability to manage multiple aspects of document composition and output generation. Daily responsibilities may include variable composition of both data and artwork files, document programming, proofing, and production support utilizing a variety of software platforms including Adobe Creative Suite applications. Knowledge of data processing and postal workflows is beneficial; however, training is available for candidates with strong aptitude in variable composition and print production workflows.

Essential Job Functions:

  • Design, develop, and execute variable data composition workflows for personalized print and mail communications, ensuring accurate and visually consistent output across all projects.
  • Build and maintain dynamic templates and composition logic by merging client data with creative assets to produce highly customized, data-driven documents for proofing and production.
  • Translate client and internal requirements into effective personalization strategies, including segmentation, conditional logic, and multi-version output.
  • Work closely with Client Services and production teams to interpret job requirements and ensure accurate execution of variable composition and personalization.
  • Utilize client-supplied artwork (typically Adobe Creative Suite files) to create fully integrated variable documents, maintaining brand integrity and production standards.
  • Perform quality assurance and troubleshooting of variable output, ensuring data accuracy, layout integrity, and compatibility with downstream production processes (e.g., inserting, barcoding, mailing).
  • Apply problem-solving skills to resolve composition challenges related to data mapping, template logic, layout rendering, and output generation.
  • Support and enhance composition workflows and efficiencies, identifying opportunities for automation, standardization, and template reuse.
  • Serve as a technical resource to internal and external stakeholders on variable data composition capabilities and best practices.
  • Perform data preparation tasks as needed to support composition workflows, including file ingestion, normalization, and basic cleansing—leveraging established processes and tools that are structured and trainable.
  • Assist with data-related workflow steps such as presort processing and file standardization, with a primary focus on ensuring data readiness for successful variable composition output.
  • Demonstrate the ability to learn and apply new tools, technologies, and composition techniques quickly within a production-driven environment.
  • Maintain a high level of accuracy, attention to detail, and adherence to documented standard operating procedures.
Qualifications

Skills & Education:

  • Associate degree or equivalent professional experience is a plus
  • Must be proficient with Windows and Mac operating system
  • Excellent typing skills required
  • Experience with DOS & Microsoft Office Suite required
  • Experience with Adobe Creative Cloud applications
  • Experience with BCC or Quadient Inspire a plus
  • Database experience a plus
  • Experience in a mail logistics and / or letter shop preferred but trainable
  • Working knowledge of postal sortation and bulk mailing rules a plus
  • Requires great attention to detail
  • Ability to thrive in a fast-paced work environment

What Telephone and Data Systems employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom