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Data Modeling Jobs in Wisconsin (NOW HIRING)

Newance

Data Analyst

Brookfield, WI · On-site

Understanding of data modeling basics and data process flows. * Strong verbal and written communication skills, including translating business needs into data requirements. * Process‑oriented ...

Blain's Farm & Fleet

IT Data Engineer

Janesville, WI · On-site +1

$72K - $90K/yr

Develop and implement data models to facilitate efficient data transformation and ensure compatibility with reporting and analytics requirements. * Build and optimize data warehousing solutions ...

U.S. Venture

Principal Data Scientist

Appleton, WI · On-site

Optimization model methodologies applied to large-scale distribution networks, inventory ... The Data Science Team is one of the teams at the forefront of innovation at U.S. Venture. This ...

CYNET SYSTEMS

Data Architect

Racine, WI · On-site

$67/hr

Define semantic models, data marts, reporting layers, and KPI frameworks. * Provide architectural guidance for self-service analytics and enterprise reporting initiatives. * Ensure optimal ...

M2 Logistics

Sr Data Architect

Green Bay, WI · On-site

$65.50 - $87.50/hr

Gradually shift legacy, high-maintenance reporting into a scalable data model and governed semantic layer * Serve as the bridge between technical data teams and business stakeholders, translating ...

Continuus Technologies LLC

Senior Data Engineer

Germantown, WI · On-site

$107K - $146K/yr

Develop and maintain data models in data warehouses and lakes * Ensure data reliability, quality, and performance across systems * Collaborate with analysts and stakeholders to deliver analytics ...

Wisconsin

Data Scientist II

Madison, WI · On-site +1

$80K/yr

The Data Scientist II will design, develop, and maintain data pipelines, data models, and analytical tools to support research and decision-making across multiple stakeholder groups. This role works ...

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How much do data modeling jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for data modeling in Wisconsin is $59.26, according to ZipRecruiter salary data. Most workers in this role earn between $53.12 and $68.89 per hour, depending on experience, location, and employer.

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

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

What is a Data Modeling job?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

Will data modeling be replaced by AI?

Data modeling is a fundamental skill for data modelers, and while AI tools can assist in automating certain tasks like generating schemas or analyzing data patterns, they do not fully replace the need for human expertise in designing, validating, and understanding complex data structures. Data modelers will continue to play a critical role in ensuring data quality and integrity, often working alongside AI technologies. Proficiency in data modeling tools and concepts remains essential for the role.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000 annually.

What does a typical day look like for someone working in Data Modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

Is data modeling a good career?

Data modeling is a valuable career in data management and analytics, involving designing and organizing data structures using tools like ER diagrams and modeling languages. It requires strong analytical skills, knowledge of database systems, and often benefits from certifications such as Certified Data Management Professional (CDMP). The role offers opportunities in various industries with a typical work environment focused on data accuracy and efficiency.

What does a data modeler do?

A data modeler designs and creates data models to organize and structure data for databases and information systems. They analyze data requirements, develop schemas, and use tools like ER diagrams to ensure data consistency and efficiency. Strong knowledge of data management, modeling techniques, and database systems is essential for this role.
What are popular job titles related to Data Modeling jobs in Wisconsin? For Data Modeling jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Modeling jobs in Wisconsin look for? The top searched job categories for Data Modeling jobs in Wisconsin are:
Data Modeling jobs near you
Data Analyst

Data Analyst

Newance

Brookfield, WI • On-site

Full-time

Posted 9 days ago

Job description

About MLG Capital
MLG Capital is a private real estate investment manager focused on delivering long‑term, tax‑efficient, risk‑adjusted returns through diversified real estate strategies across the United States. As our platform continues to scale nationally, we are strengthening our data and reporting capabilities to drive operational efficiency, improve decision‑making, and reduce the time required to produce core business insights.
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, working closely with Asset Management, Portfolio Management, Acquisitions teams and more over time, to ensure that data-driven efficiencies are introduced wherever they are most needed. By collaborating across these areas, the Data Analyst will help deliver timely, accurate insights and empower each team to make more informed decisions and achieve their goals with greater speed, while working with the Data Engineering team and BI team to continue to deliver automated and scalable solutions.
The analyst will act as the data and process subject matter expert for these business lines, helping ensure our asset-level and portfolio-level data is complete, clean, and ready for faster reporting with reduced manual effort.
Key Responsibilities
Core Business Support
    • Act as the subject matter expert for data, workflows, KPIs, and reporting logic across Asset Management, Portfolio Management, Fund Accounting/Tax, and Acquisitions.
    • Proactively engage business stakeholders-including senior leadership-to gather, document, and align reporting requirements, data sources, and field definitions with organizational goals.
    • Partner with BI Developers and Data Engineering to deliver scalable, automated reporting solutions, resolve data gaps, and improve pipeline robustness.
  • Reporting and Data Management
    • Maintain and refresh recurring weekly, monthly, and quarterly reports, dashboards, and Excel/BI outputs for business consumption.
    • Clean, transform, and standardize data, ensuring quality through QA, reconciliation, exception detection, and report testing.
    • Implement data quality frameworks, validation rules, and monitoring processes to ensure analytics outputs are accurate, reliable, and consistent.
  • Process Improvement and Collaboration
    • Establish and manage structured project workflows, cross-functional collaboration, and effective communication across assigned initiatives.
    • Continuously review and enhance reporting workflows, data intake, and operational procedures to identify and eliminate inefficiencies and bottlenecks.
    • Map and recommend improvements for current- and future-state workflows to increase scalability, reduce manual effort, and promote operational excellence.
  • Documentation and Change Management
    • Document business logic, field definitions, DDL, KPI formulas, and reporting requirements to support knowledge sharing and process transparency.
    • Support change-management efforts to drive adoption and maintenance of new and enhanced data solutions.
    • Advocate for standardized data practices and collaborate on initiatives to enhance data completeness, accuracy, and auditability.
  • Analytics Advancement
    • Identify gaps in data feeds and scope new sources to advance analytics capabilities.
    • Recommend and implement enhancements that support the firm's strategic goals for data-driven decision-making.

Skills & Qualifications
  • 2-5 years of experience as a Data Analyst or Reporting Analyst; real estate or financial services experience highly recommended.
  • Expert Excel skills and very strong with BI/reporting tools (Power BI preferred).
  • Ability to work with messy or incomplete data and improve it through cleansing and transformation.
  • Understanding of data modeling basics and data process flows.
  • Strong verbal and written communication skills, including translating business needs into data requirements.
  • Process‑oriented mindset with passion for increasing efficiency and reducing manual work.
  • Comfortable working with both business stakeholders and technical teams.

Skills & Qualifications
  • 2-5 years of experience as a Data Analyst or Reporting Analyst; real estate or financial services experience highly recommended.
  • Expert Excel skills and very strong with BI/reporting tools (Power BI preferred).
  • Ability to work with messy or incomplete data and improve it through cleansing and transformation.
  • Understanding of data modeling basics and data process flows.
  • Strong verbal and written communication skills, including translating business needs into data requirements.
  • Process‑oriented mindset with passion for increasing efficiency and reducing manual work.
  • Comfortable working with both business stakeholders and technical teams.
  • Innate curiosity and critical thinking skills; thrives on solving complex problems and enjoys the challenge of unraveling data puzzles to uncover valuable insights.
  • Skilled at bridging the gap between technical and business perspectives, able to communicate effectively across teams and tailor solutions to meet real-world needs.
  • Self-motivated and energized by challenges; approaches obstacles as opportunities for creative solutions and continuous improvement.
  • Team-oriented mindset; values collaboration, celebrates collective wins, and contributes to a positive, high-performance culture.

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