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Data Jobs in Wisconsin (NOW HIRING)

Concurrency

Data Architect

Milwaukee, WI · On-site

$62.75 - $80.75/hr

Your focus will be on designing data-intensive applications in Azure that align with customer business goals and helping set internal technical direction for our Cloud, Data & AI Solutions group. The ...

Sia Partners'

WI · On-site

$110 - $170/hr

Today, our strategy and management capabilities are augmented by data science, enhanced by creativity, and driven by responsibility. We're optimists for change, helping clients initiate, navigate ...

Next Gen Alloys

Data Scientist

Cudahy, WI

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 ...

TTEC

Data Analyst

Krakow, WI · On-site

Data Analyst Apply now Save jobSaved job Description - External At TTEC, were all about the Human Experience. Elevated. As a Data Analyst working from office Krakow, Poland , you will be a part of ...

Element Materials Technology

Data Processor

Kenosha, WI · On-site

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

Actalent

Data Reviewer

Verona, WI · On-site

$35 - $43/hr

Data Reviewer As a Data Reviewer, you will be responsible for reviewing data from validations and technology transfers of QC test methods for products and materials to ensure data integrity. You will ...

Element Materials Technology

Data Processor

Racine, WI · On-site

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

Shine United

Data Analyst

Madison, WI · On-site

POSITION OVERVIEW : You're a Data Analyst who loves building insightful dashboards as much as you do finding the story buried within them. You're comfortable in the numbers, but you don't live there.

Shine United

Data Analyst

Madison, WI · On-site

POSITION OVERVIEW : You're a Data Analyst who loves building insightful dashboards as much as you do finding the story buried within them. You're comfortable in the numbers, but you don't live there.

Element Materials Technology

Data Processor

Madison, WI · On-site

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

Rightech

Data Technician

West Bend, WI · On-site

Data Technician Location: Spring Valley, Illinois Duration: 6-8 Weeks Start Date: ASAP Wireless upgrade will be running cat6 and installing multiple WAP devices in an operational facility. Install ...

US Department of Commerce

Data Scientist

Madison, WI · On-site

$147K/yr

Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is ...

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Showing results 21-40

All JobsData JobsData Jobs in Wisconsin

Data information

See Wisconsin salary details

$46.4K

$166.6K

$245.8K

How much do data jobs pay per year?

As of Aug 12, 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 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.

Is it hard to get a data job?

Getting a data job can be competitive, as it often requires strong skills in data analysis, programming, and tools like SQL or Python. Relevant experience, certifications, and a solid portfolio can improve chances of securing a position in this field.

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 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.

More about Data jobs
What are the most commonly searched types of Data jobs in Wisconsin? The most popular types of Data jobs in Wisconsin are:
What are popular job titles related to Data jobs in Wisconsin? For Data jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data jobs in Wisconsin look for? The top searched job categories for Data jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data jobs? Cities in Wisconsin with the most Data job openings:
Data jobs near you
Infographic showing various Data job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $166,561 per year, or $80.1 per hour.

Data Architect

Concurrency

Milwaukee, WI • On-site

$62.75 - $80.75/hr

Full-time

Re-posted 24 days ago

Job description

Who We Are
At Concurrency, we embody innovation. We're not just tech consultants; we are forward thinkers with a purpose. Our team thrives on disrupting the norm, constantly seeking the next challenge and pushing boundaries to redefine what's achievable. Recognized as a Microsoft Solutions Partner, a ServiceNow Elite Partner, and recipient of multiple Partner of the Year awards, Concurrency is synonymous with excellence. If you're fueled by the desire to transform technology into real-world solutions, join us and unleash your potential as a change catalyst.
Who We're Looking For
We're looking for a full stack Data Architect to help take our Cloud, Data & AI Solutions team to the next level. Your focus will be on designing data-intensive applications in Azure that align with customer business goals and helping set internal technical direction for our Cloud, Data & AI Solutions group. The ideal candidate excels at creating modern data solutions to stubborn business problems and enjoys working across the entire data stack from requirements gathering to system design, implementation, and documentation. You thrive in early-stage environments that provide freedom to move fast and ship new features at high velocity without compromising quality standards. You'll work with a high-performance engineering team and report directly to the Practice Manager, significantly influencing our technical direction and that of our customers.
At Concurrency, we believe in living out our core valuesevery day. These principles guide our actions, decisions, and interactions:
Be Yourself: Be the best version of your whole self. Your authenticity matters.
Be Bold: Bravely and respectfully take risks and challenge the norm.
Have a Growth Mindset: Be open to learning and apply your expertise.
Be the Difference: Ensure that every interaction with your colleagues, clients and community improves their lives. Pay it forward.
Assume Positive Intent: Lead with giving the benefit of the doubt.
What You'll Do
  • Lead end-to-end technical discovery and architecture design for complex data and analytics initiatives, translating ambiguous business goals into scalable, secure data solutions

  • Architect modern data platforms on Azure, including lakehouse, streaming, and analytics architectures using services such as ADLS, Databricks, Fabric, Synapse, and related tooling

  • Define and document reference architectures, design patterns, and implementation standards that are reusable across clients and engagements

  • Serve as a trusted technical advisor to client stakeholders, guiding architectural decisions, tradeoffs, and roadmaps aligned to business outcomes

  • Balance ideal-state architecture with real-world constraints including cost, timeline, data maturity, and team skill sets

  • Oversee and review solution implementations to ensure architectural integrity, performance, scalability, and security best practices

  • Partner with delivery teams to resolve complex technical challenges and act as an escalation point for architecture-related decisions and positive client sentiment

  • Integrate AI-augmented delivery practices into solution design and implementation, while exercising strong engineering judgment and governance

  • Mentor engineers and senior engineers through architecture reviews, design sessions, and ongoing coaching

  • Contribute to pre-sales activities including technical discovery workshops, solution shaping, and proposal support

What You'll Need
  • Over 7 years of experience designing and delivering data solutions, with experience operating in an architecture or senior technical leadership role

  • Deep expertise in modern data architectures, including lakehouse, ELT/ETL orchestration, data modeling, and analytics platforms on Microsoft Azure

  • Proven ability to design scalable data solutions supporting structured, semi-structured, and unstructured data

  • Strong hands-on experience with technologies such as Azure Data Factory / Fabric Pipelines, Databricks (PySpark), SQL, and cloud-native data services

  • Demonstrated experience leading technical discovery, requirements gathering, and architecture design in client-facing environments

  • Strong understanding of data governance, security, and compliance considerations (e.g., RBAC, data classification, lineage)

  • Experience leveraging AI-augmented delivery techniques to improve solution quality and productivity, with the ability to establish usage standards and lead by example through hands-on application.

  • Ability to communicate complex architectural concepts clearly to both technical and non-technical audiences

  • Comfort operating with a high degree of autonomy while collaborating across cross-functional teams

What Will Set You Apart
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field

  • Experience designing enterprise-scale data platforms using Microsoft Fabric, Azure Synapse, or multi-cloud data ecosystems

  • Exposure to AI-enabled data patterns such as vector search, RAG architectures, or analytics supporting generative AI use cases

  • Relevant certifications such as Azure Data Engineer Associate (DP-203), Fabric Engineer Associate, or architecture-focused credentials

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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