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Data Analyst Data Science Jobs in Milwaukee, WI (NOW HIRING)

Next Gen Alloys

Data Scientist

Cudahy, WI

B.S. degree in computer science, engineering with a strong statistical and programming background. * Experience in deep learning, predictive modeling, data mining, and time series analysis.

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

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 ...

Medical College of WI

Data Analyst Sr

Milwaukee, WI · On-site

$84K - $106K/yr

... and scientists; to discover and translate new knowledge in the biomedical sciences; to provide ... Data Analyst Sr Qualifications Data Analyst Sr Additional Information All your information will be ...

Elevance Health

Data Scientist Analyst

Waukesha, WI · On-site +1

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week ... Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning ...

Medical College of WI

Data Analyst Sr

Milwaukee, WI · On-site

$84K - $106K/yr

... and scientists; to discover and translate new knowledge in the biomedical sciences; to provide ... Data Analyst Sr Qualifications Data Analyst Sr Additional Information All your information will be ...

Pwc

AI & GenAI Data Scientist-Director

Milwaukee, WI · On-site

$155K - $410K/yr

Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering - At least one of the following: Certifications aligned to data engineering, machine ...

IAT Insurance Group

Business Data Analyst

Milwaukee, WI · On-site

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance ... Bachelor's degree in Computer Science, Information Systems, or similar technology-related field ...

Iatinsurancegroup

Business Data Analyst

Milwaukee, WI · On-site +1

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance ... Bachelor's degree in Computer Science, Information Systems, or similar technology-related field ...

Continuus Technologies LLC

Senior Data Analyst

Germantown, WI · On-site

$87K - $110K/yr

Role OverviewThe Senior Data Analyst is a trusted analytical partner who leads complex analyses, develops insights that influence decision-making, and mentors junior analysts. This role bridges data ...

DivIHN Integration Inc

PLM Data Analyst

Racine, WI · On-site

PLM Data Analyst Location: Onsite Critical in Racine, WI Duration: 6 Months Hours: Flexibility within core business hours of 9-3 SUMMARY Role is "more critical thinking as data detective on one piece ...

htna

Master Data Analyst

Milwaukee, WI · Hybrid

The Master Data Analyst is responsible for supporting and coordinating North America master data governance activities to ensure high-quality, consistent, and trusted data across systems and ...

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Showing results 21-40

All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Milwaukee, WI

Data Analyst Data Science information

See Milwaukee, WI salary details

$33.5K

$81.4K

$134K

How much do data analyst data science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data analyst data science in Milwaukee, WI is $81,421.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $95,600.00 per year, depending on experience, location, and employer.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.
What are popular job titles related to Data Analyst Data Science jobs in Milwaukee, WI? For Data Analyst Data Science jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in Milwaukee, WI look for? The top searched job categories for Data Analyst Data Science jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Data Analyst Data Science jobs? Cities near Milwaukee, WI with the most Data Analyst Data Science job openings:
Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Milwaukee, WI as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $81,421 per year, or $39.1 per hour.

Data Scientist

Next Gen Alloys

Cudahy, WI

Full-time

Re-posted 10 days ago

Job description

Proven to Perform.
From the edges of space to the bottoms of ocean, our materials are proven to perform -- and so is our team. We're hiring high performers as proven as our products. Join us.

ATI is seeking to hire a Data Scientist to support business unit-wide data analytics initiatives. This position will be based in 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, and design and improvement of manufacturing processes.

A successful Data Scientist will work cross-functionally across multiple levels, operate effectively in early-stage development of processes and procedures, and will possess a strong Continuous Improvement mindset.

Additional Responsibilities

  • Map data from multiple sources into new structures.
  • Work with business subject matter experts to determine best solutions
  • Serve as a subject matter expert in the capabilities of Data Science.
  • Collaborate with business owners to solve business problems using a broad spectrum of data science tools, packages and visualization techniques.
  • Build models and optimization tools to support large scale projects that utilize online, offline data, structured, and unstructured data.

Basic Qualifications

  • B.S. degree in computer science, engineering with a strong statistical and programming background.
  • Experience in deep learning, predictive modeling, data mining, and time series analysis.
  • Knowledge of image segmentation, generative models, convolutional neural networks.
  • Experience in applied machine learning.

Preferred Qualifications (in addition to Basic Qualifications)

  • Experience in PyTorch, Keras/Tensorflow.
  • Experience in explainable AI.
  • Experience in SQL data query, data cleaning
    • Experience in SAP Data Intelligence and/or Azure cloud computing a plus but not required.
  • If you have worked on PINN or used ML for solving materials science problem a big plus.

Wethrive when the expectations are great, and the barriers are high. We're solving the world's most difficult challenges through materials science.Our advanced, integrated process technologies and proven performers give us a tremendous competitive advantage. When customers systems need to fly higher, dig deeper, stand stronger, and last longer -- anywhere on, above or below the earth -- ATI is proven to perform.

*It is ATI's policy to not provide immigration sponsorship for any of the company's positions.
ATI and its subsidiary companies will provide equal employment opportunities to all applicants without regard to applicant's race, color, religion, sex, gender, genetic information, national origin, age, veteran status, disability status, or any other status protected be federal or state law. The company will provide reasonable accommodations to allow an applicant to participate in the hiring process if so requested.

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