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Data Modeling Jobs in Wisconsin (NOW HIRING)

Senior Data Analyst

Germantown, WI · On-site

$87K - $110K/yr

Develop and maintain dashboards, reports, and analytical models * Identify trends, risks, and opportunities using quantitative and qualitative data * Define and standardize KPIs, metrics, and ...

Azure Data Architect

Milwaukee, WI · On-site

$66.05 - $76.05/hr

This role plays a critical part in defining data models, data flows, architectural standards, and best practices across the organization. Responsibilities: * Design and maintain enterprise data ...

Data Engineer II

Green Bay, WI · On-site

$111K - $133K/yr

... MODELING & ARCHITECTURE • Design and maintain data models, schemas, and database structures to support analytical and operational use cases • Optimize data storage and retrieval mechanisms for ...

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

Provides modeling analysis and develops conceptual, logical, and physical data models according to specifications and standards for document naming, security, lifecycle, and retention architectures.

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 ...

SCADA Network Modeler

Milwaukee, WI · On-site

$53 - $63/hr

Autonomy & Trust - Fully remote role with ownership over complex modeling and validation work ... Import GIS data, troubleshoot data errors, and define cleanup scope for GIS teams * Support testing ...

SCADA Network Modeler

Milwaukee, WI · Remote

$53 - $63/hr

Autonomy & Trust - Fully remote role with ownership over complex modeling and validation work ... Import GIS data, troubleshoot data errors, and define cleanup scope for GIS teams * Support testing ...

SCADA Network Modeler

Milwaukee, WI · Remote

$53 - $63/hr

Autonomy & Trust - Fully remote role with ownership over complex modeling and validation work ... Import GIS data, troubleshoot data errors, and define cleanup scope for GIS teams * Support testing ...

Project Delivery Model (PDM) is a talent model tailored specifically for long-term, onsite client service delivery. Work you'll do / Responsibilities You will support a Data & Analytics Foundry ...

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Showing results 1-20

Data Modeling information

See Wisconsin salary details

$10

$59

$83

How much do data modeling jobs pay per hour?

As of Jun 8, 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 are the four types of data modeling?

Data modeling in data analysis and database design typically includes four main types: conceptual, logical, physical, and dimensional modeling. Conceptual models define high-level data structures, logical models specify detailed structures without physical considerations, physical models translate logical models into actual database schemas, and dimensional models are used in data warehousing for analytical purposes. Data modelers often use tools like ER diagrams and require understanding of database systems and business requirements.

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.

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.

Infographic showing various Data Modeling job openings in Wisconsin as of May 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 83% In-person, 3% Hybrid, and 14% Remote job distribution, with an average salary of $123,265 per year, or $59.3 per hour.

Data & Analytics Engineer - Marketing Analytics

Robert W Baird & Co

Milwaukee, WI • On-site

Full-time

Posted 4 days ago


Job description

About the Role
Are you curious about how marketing data turns into insights that drive business decisions? Do you enjoy working hands-on with data while partnering closely with business stakeholders? Are you looking to deepen your skills in analytics engineering, data modeling, and modern data platforms?
As we continue to grow our data capabilities at Baird, we are seeking a Data & Analytics Engineer (DAE) with a focus on Marketing Analytics. This role is part of our IT Data & Analytics organization and supports marketing-focused use cases such as campaign performance, customer engagement, and channel analytics. The ideal candidate blends data engineering expertise with business curiosity, strong communication skills, and hands-on experience enabling analytics for Marketing stakeholders.
This role is based in Milwaukee, WI and works closely with Marketing, Analytics, Architecture, and Delivery teams.
The Impact You'll Make
Marketing Analytics & Business Support
  • Partner with Marketing teams and analysts to support analytics needs related to campaigns, customer engagement, and performance reporting.
  • Help translate marketing questions into clear data requirements, datasets, and metrics.
  • Support analytics use cases such as campaign reporting, segmentation, funnel analysis, and customer insights.
  • Build familiarity and trust with Marketing Teams about marketing data sources and how they are used across the organization.

Data Engineering & Data Management
  • Contribute to the design, build, and maintenance of data pipelines that ingest and transform marketing data.
  • Apply data modeling skills (3NF and dimensional) to support analytics-ready datasets.
  • Perform data analysis and profiling to understand source data and support quality outcomes.
  • Develop and validate source-to-target mappings and transformation logic.
  • Implement and test end-to-end data solutions under the guidance of senior engineers.
  • Follow established practices to ensure sensitive data is protected and handled appropriately.

Analytics Enablement & Delivery
  • Support data discovery efforts and help prototype datasets that bring together multiple data sources.
  • Leverage existing tools to enable reporting and visualization for Marketing users.
  • Document datasets and transformations to support usability and adoption.
  • Deliver work incrementally while balancing changing priorities.

Collaboration, Learning & Growth
  • Collaborate with delivery team members, architects, and business partners.
  • Communicate clearly about progress, risks, and dependencies.
  • Learn and apply Baird data standards, tools, and best practices.
  • Seek feedback and coaching from senior Data & Analytics Engineers.
  • Continuously build skills through training, documentation, and hands-on experience.

What You'll Bring to Baird
  • 5-7 years of experience delivering data and analytics solutions in a collaborative environment.
  • Experience with data engineering, analytics, or BI development.
  • Strong SQL skills and familiarity with relational data concepts.
  • Experience performing data analysis, profiling, and validation.
  • Ability to work with business partners to understand and support analytics needs.
  • Curiosity, strong problem-solving skills, and a desire to grow technically.

Technical Experience (Representative, Not Exhaustive)
  • Databases / Platforms: SQL Server, Snowflake, Azure SQL Database, Azure Data Lake.
  • Data Integration: SSIS, dbt, Azure Data Factory, or similar tools.
  • Query & Development: SQL, T-SQL, Azure Data Studio.
  • BI & Analytics Tools: Power BI, Alteryx, or similar.
  • Data Modeling & Governance: Basic 3NF and dimensional modeling, data mapping, data profiling, data quality concepts.
  • Data Formats: CSV, JSON, XML, Parquet.

Highly Preferred (Marketing Analytics)
  • Exposure to and experience with marketing or customer data (campaigns, digital engagement, CRM, or customer interaction data).
  • Interest in marketing measurement concepts such as attribution, segmentation, or funnels.
  • Experience working in a regulated or data-sensitive environment.

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Baird is committed to diversity and provides employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, pregnancy, citizenship, national origin, age, disability, military service, veteran status, sexual orientation, gender identity or expression, genetic information, or any other status protected by law.