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Data Analytics Jobs in Wisconsin (NOW HIRING)

BMO U.S.

Data Analytics and Visualization

Milwaukee, WI · On-site

The Data Analytics and Visualization role involves designing dashboards, analyzing data, and providing insights through visualization techniques while collaborating with various teams to enhance data ...

Komatsu

IT Manager, Data & Analytics

Milwaukee, WI · On-site

IT Manager, Data & Analytics Posting Start Date: 3/19/26 Job Location (Short): Milwaukee, Wisconsin, USA, 53204-2941 | Chicago, Illinois, USA, 60631 Requisition ID: 35392 Onsite or Remote: Onsite ...

LRS

Senior Data & Analytics Engineer

Milwaukee, WI

$65 - $95/hr

Codeworks, an LRS company, is seeking aa strategic and hands-on Senior Data & Analytics Solutions Architect to partner with business stakeholders and deliver scalable enterprise analytics solutions ...

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Komatsu

IT Manager, Data & Analytics

Milwaukee, WI · On-site

The IT Manager, Data & Analytics will lead the execution of business-driven and IT-enabled solutions, managing a team to deliver data-driven insights and solutions that enable business growth and ...

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All JobsData Analytics JobsData Analytics Jobs in Wisconsin

Data Analytics information

See Wisconsin salary details

$24

$55

$95

How much do data analytics jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for data analytics in Wisconsin is $55.26, according to ZipRecruiter salary data. Most workers in this role earn between $44.42 and $62.60 per hour, depending on experience, location, and employer.

What job do you get with data analytics?

A career in data analytics can lead to roles such as Data Analyst, Business Analyst, Data Scientist, or Data Engineer. These positions involve analyzing data to support decision-making, often requiring skills in statistical tools, programming languages like Python or R, and data visualization software. Certifications like Certified Analytics Professional (CAP) can enhance job prospects.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst evolves with technology, requiring skills in programming, statistical analysis, and understanding AI capabilities, rather than being fully replaced by AI.

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

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the job of data analytics?

The job of data analytics involves examining large datasets to identify patterns, trends, and insights that support decision-making. Data analysts use tools like Excel, SQL, and visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and knowledge of statistical methods are essential for this role.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a Data Analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Wisconsin? The most popular types of Data Analytics jobs in Wisconsin are:
What are popular job titles related to Data Analytics jobs in Wisconsin? For Data Analytics jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Wisconsin look for? The top searched job categories for Data Analytics jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Analytics jobs? Cities in Wisconsin with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Wisconsin as of June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $114,938 per year, or $55.3 per hour.
Data & Analytics Engineer - Marketing Analytics

Data & Analytics Engineer - Marketing Analytics

Baird

Milwaukee, WI • On-site

Full-time

Posted 6 days ago

Baird rating

8.6

Company rating: 8.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

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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