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Data Analytics Jobs in Milwaukee, WI (NOW HIRING)

Generac

Data Science Analyst

Waukesha, WI · On-site

The candidate must have familiarity with the manipulation of unstructured data in a data analytics environment, and the use of open-source tools, cloud computing, machine learning and data ...

Tri City National Bank

Senior Data Analyst

Oak Creek, WI · On-site

$82K - $103K/yr

The Senior Data Analyst will transform complex data into actionable insights that drive sales ... Oversee end-to-end analytics delivery, including sales analytics, customer insights, product ...

Tri City National Bank

Senior Data Analyst

Oak Creek, WI · On-site

$82K - $103K/yr

The Senior Data Analyst will transform complex data into actionable insights that drive sales ... Oversee end-to-end analytics delivery, including sales analytics, customer insights, product ...

Tri City National Bank

Senior Data Analyst

Oak Creek, WI · On-site

$82K - $103K/yr

The Senior Data Analyst will transform complex data into actionable insights that drive sales ... Oversee end-to-end analytics delivery, including sales analytics, customer insights, product ...

Tri City National Bank

Senior Data Analyst

Oak Creek, WI · On-site

$95 - $130/hr

The Senior Data Analyst will transform complex data into actionable insights that drive sales ... Oversee end-to-end analytics delivery, including sales analytics, customer insights, product ...

Generac

Senior Platform & Analytics Analyst

Waukesha, WI · On-site

$86K - $108K/yr

The Senior Analytics and Platform Analyst will play an important role in driving data-driven decision-making and digital enablement across the organization. You are responsible for delivering ...

Jobtailor

Senior Data Analyst - Risk Product

Milwaukee, WI · On-site

$75 - $110/hr

Use data, analytics, and metrics to evaluate business processes, identify risks or opportunities, and provide data-driven recommendations. * Translate complex data findings into clear written, verbal ...

LRS

Data Analyst

Milwaukee, WI

$25 - $30/hr

This role works closely with cross-functional teams to analyze data, support operational decision-making, and contribute to continuous improvement initiatives across the supply chain.

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 ...

ULINE

Data Analyst

Kenosha, WI · On-site

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 ...

Syntricate Technologies

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

... data/analytics architecture (Big Data, Cloud, etc.,). • Exposure to advance analytics tools (Python, R, etc.). • Scripting (shell, python, ruby) skills for monitoring and automation. • ...

Pwc

Data Strategy-Manager

Milwaukee, WI · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

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All JobsData Analytics JobsData Analytics Jobs in Milwaukee, WI

Data Analytics information

See Milwaukee, WI salary details

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How much do data analytics jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data analytics in Milwaukee, WI is $53.94, according to ZipRecruiter salary data. Most workers in this role earn between $43.32 and $61.11 per hour, depending on experience, location, and employer.

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.

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 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 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.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Milwaukee, WI?

The most popular types of Data Analytics jobs in Milwaukee, WI are:

What are popular job titles related to Data Analytics jobs in Milwaukee, WI?

For Data Analytics jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Milwaukee, WI look for?

The top searched job categories for Data Analytics jobs in Milwaukee, WI are:

What cities near Milwaukee, WI are hiring for Data Analytics jobs?

Cities near Milwaukee, WI with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Milwaukee, WI as of August 2026, with employment types broken down into 84% Full Time, 4% Part Time, 8% Contract, and 4% Nights. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $112,193 per year, or $53.9 per hour.

Data Science Analyst

Generac Power Systems, Inc.

Waukesha, WI • On-site

Full-time

Re-posted 28 days ago

Job description

We believe power is a promise - a shared commitment to be there for others when it matters most.
For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future.
Ready to Power a Smarter World with us?
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 analysis of structured and unstructured data using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining. The candidate will determine best practices and develop actionable insights and recommendations for the current operations or issues and works closely with the business functional team to identify analytical requirements. The candidate will work on Enterprise data platform and other analytical projects as needed, assist in implementing or developing systems to capture operational information, and may assist less experienced analysts. The candidate must have familiarity with the manipulation of unstructured data in a data analytics environment, and the use of open-source tools, cloud computing, machine learning and data visualization and appropriate, relevant programming languages.
*This is not a remote role, the ideal candidate will need to be located in Wisconsin, due to this position being onsite and reporting into our Waukesha Headquarters*
Minimum Qualifications:
  • Bachelor Degree
  • 1 year work experience in Math, Statistics, or Computer Science

Preferred Qualifications:
  • Relational database experience & Experience query databases (ex: SQL, MySql).
  • Experience with one or more statistical analysis tools (ex: MatLab, MiniTab, SPSS, or R).
  • Experience with statistical analysis languages (ex: R, Python, SQL).
  • Experience on using the cloud platform (ex Azure, AWS..)
  • Experience with building agents using Microsoft CoPilot, and other solution paths

Essential Duties:
  • Develop and analyze various data to support Enterprise Transformation initiatives and AI use cases
  • Supports data preparation for analytic efforts by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.
  • Translating business requirements; informing data/information needs and data collection methods
  • Create custom data models & create pipelines and algorithms as needed & produce Data insights
  • Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation.
  • Supporting end-users; and documenting processes and deliverables
  • Ongoing reports highlighting the initiative progress and successes.

Knowledge and Skills:
  • Ability to write complex SQL queries, data visualization
  • Proficiency in database applications and MS Office with excellent Excel skills.
  • Requires excellent analytical, organization, project management, communication, presentation and people skills with a variety of audiences, up to and including, the executive level.
  • Ability to simplify complex findings to develop unique, practical solutions.
  • Able to understand various data structures and common methods in data transformation.
  • Excellent pattern recognition and predictive modeling skills.
  • Cross/multi-functional understanding of industry, company, and products to enable identification of assumptions and events, and qualification of related risks and opportunities.
  • Self-motivated and able to work with minimal direction

#LI-BB1
Physical Demands: While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders. The employee must occasionally lift up to 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.
"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law."

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