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Data Jobs in Brookfield, WI (NOW HIRING)

Charter Manufacturing Company, Inc.

Data Architect

Mequon, WI · On-site

$56.50 - $72.75/hr

Data Architect Position Purpose / Mission Help shape the future of data across a digitally evolving manufacturing enterprise. As our Enterprise Data Architect, you will define and drive the data ...

Compunnel

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 ...

CYNET SYSTEMS

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 ...

Rogers Behavioral Health

Data Analyst

Oconomowoc, WI · On-site

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 ...

Newance

Data Analyst

Brookfield, WI · On-site

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 ...

ATI

Data Scientist

Cudahy, WI · On-site

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 ...

Concurrency

Data Architect

Milwaukee, WI

$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 ...

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 ...

Next Gen Alloys

Data Scientist

Cudahy, WI · On-site

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 ...

ATI

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 ...

Rural Mutual Insurance

Data Analyst

Milwaukee, WI · On-site

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 ...

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 ...

Rural Mutual Insurance

Data Engineer

Milwaukee, WI · On-site +1

$112K - $135K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

Marquette University

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Posting Details Posting Details Posting Number NA01568 Position Information Position Title Data Engineer State Employment Status Full Time Position Status Regular If Limited Term (End Date of ...

ULINE

Data Analyst

Milwaukee, WI

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Bespoke Labs

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Generac

Data Science Analyst

Waukesha, WI

In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the Data Analytics and Business Intelligence team. The Data Science Analyst is responsible for the ...

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All JobsData JobsData Jobs in Brookfield, WI

Data information

See Brookfield, WI salary details

$43.1K

$154.6K

$228.2K

How much do data jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data in Brookfield, WI is $154,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,100.00 and $159,300.00 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.
More about Data jobs
What are the most commonly searched types of Data jobs in Brookfield, WI? The most popular types of Data jobs in Brookfield, WI are:
What are popular job titles related to Data jobs in Brookfield, WI? For Data jobs in Brookfield, WI, the most frequently searched job titles are:
What job categories do people searching Data jobs in Brookfield, WI look for? The top searched job categories for Data jobs in Brookfield, WI are:
What cities near Brookfield, WI are hiring for Data jobs? Cities near Brookfield, WI with the most Data job openings:
Data jobs near you
Infographic showing various Data job openings in Brookfield, WI as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $154,638 per year, or $74.3 per hour.
Data Architect

Data Architect

Charter Manufacturing Company, Inc.

Mequon, WI • On-site

$56.50 - $72.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Charter Manufacturing is a fourth-generation family-owned business where our will to grow drives us to do it better. Join the team and become part of our family!
Applicants must be authorized to work for ANY employer in the U.S. Charter Manufacturing is unable to sponsor for employment visas at this time.
This position is hybrid, 3 days a week in office in Mequon, WI.
Data Architect
Position Purpose / Mission
Help shape the future of data across a digitally evolving manufacturing enterprise.
As our Enterprise Data Architect, you will define and drive the data strategy that powers business intelligence, operational excellence, advanced analytics, automation, and emerging AI capabilities. This highly visible role sits at the intersection of business and technology, partnering closely with leaders across Digital, Operations, Supply Chain, and Finance to create scalable, trusted, and accessible data solutions.
You will architect modern data platforms and integration strategies that connect manufacturing systems, ERP platforms, cloud technologies, and analytical applications into a cohesive enterprise ecosystem. Through your leadership, the organization will gain the trusted data foundation needed to accelerate innovation, improve decision-making, and unlock the value of AI and data-driven transformation.
This is an exciting opportunity for a strategic thinker who enjoys solving complex challenges, influencing enterprise technology direction, and building the data capabilities that will shape the future of the business.
Why This Role Matters
  • Influence enterprise-wide data strategy and architecture decisions.
  • Drive modernization initiatives across cloud, analytics, and AI-enabled platforms.
  • Partner directly with business leaders to solve meaningful operational challenges.
  • Design scalable solutions that impact manufacturing, supply chain, finance, and customer-facing processes.
  • Establish the foundation for advanced analytics, automation, machine learning, and AI adoption.
  • Mentor and guide technical teams while promoting modern architecture best practices.

What You'll Bring
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related discipline; equivalent experience will also be considered.
  • 6+ years of experience in Data Architecture, Data Engineering, Data Integration, Analytics Architecture, or enterprise-scale data platform design.
  • Proven success designing enterprise data ecosystems that support both operational and analytical workloads.
  • Strong understanding of modern data modeling techniques, including normalized, dimensional, canonical, and domain-driven approaches.
  • Experience establishing governance practices that improve data quality, lineage, security, and trust.
  • Hands-on knowledge of cloud data technologies, data warehouses, data lakes, APIs, and integration frameworks.
  • Demonstrated ability to translate complex business requirements into scalable technical solutions.
  • Exceptional communication skills with the ability to influence stakeholders across both technical and non-technical audiences.
Preferred Qualifications
  • Experience within manufacturing, supply chain, industrial technology, or ERP-centric environments.
  • Oracle EBS experience preferred.
  • Experience with Azure Data Services, Snowflake, Databricks, PySpark, SQL, Python, Tableau, Power BI, Alteryx, Kafka, CDC, and event-driven architectures.
  • Exposure to AI/ML platforms, predictive analytics, Industrial IoT, and enterprise data governance programs.
  • Experience leading data modernization or digital transformation initiatives at scale.

Key Responsibilities
Enterprise Data Strategy & Architecture
  • Design and evolve enterprise data architecture that supports business growth, analytics, automation, and AI initiatives.
  • Establish scalable patterns for data ingestion, integration, storage, transformation, and consumption across hybrid cloud and on-premises environments.
  • Define architectural standards for APIs, ETL/ELT, streaming, CDC, event-driven solutions, and reusable data products.
Data Governance & Platform Excellence
  • Champion enterprise standards for data quality, lineage, metadata management, security, and compliance.
  • Develop trusted, governed data assets that improve consistency, reliability, and accessibility across the organization.
  • Guide the adoption of modern architecture principles and best practices across data teams.
Analytics, AI & Innovation
  • Enable advanced manufacturing and operational analytics, including predictive maintenance, supply chain visibility, operational intelligence, and AI-ready data solutions.
  • Partner with analytics, engineering, and business teams to accelerate self-service reporting, data science, and machine learning initiatives.
  • Help define the future-state architecture that supports emerging AI and automation capabilities.
Leadership & Collaboration
  • Facilitate architecture reviews and strategic planning sessions that align business objectives with technology solutions.
  • Collaborate with cross-functional teams to solve complex technical challenges and drive enterprise consistency.
  • Mentor technical professionals, share best practices, and foster a culture of innovation and continuous improvement.
  • Communicate architectural vision and recommendations effectively to executives, business leaders, and technical stakeholders.

What Makes This Opportunity Unique
This role offers a rare opportunity to influence enterprise strategy while remaining hands-on with modern data technologies. You'll help build the foundation for next-generation analytics and AI capabilities, partner with leaders across the organization, and play a critical role in the company's ongoing digital transformation journey.
The ideal candidate is energized by creating order from complexity, connecting technology to business outcomes, and building data ecosystems that drive meaningful impact.
We offer comprehensive health, dental, and vision benefits, along with a 401(k) plan that includes employer matching and profit sharing. Additionally, we offer company-paid life insurance, disability coverage, and paid time off (PTO).

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