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Entry Level Data Analyst R Programming Jobs in Milwaukee, WI

ATI

Data Scientist

Cudahy, WI · On-site

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.

Kiongroup

Operational Data Scientist

Wauwatosa, WI

Help build a data-driven culture by demonstrating the value of analytics through practical, high-visibility work Tasks and Qualifications: Skills & Capabilities * Proficiency in Python and/or R, with ...

Posted today

ATI

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.

Next Gen Alloys

Data Scientist

Cudahy, WI · On-site

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.

Kiongroup

Operational Data Scientist

Wauwatosa, WI

Help build a data-driven culture by demonstrating the value of analytics through practical, high-visibility work Tasks and Qualifications: Skills & Capabilities * Proficiency in Python and/or R, with ...

Posted today

Trace-A-Matic Corporation

Industrial Engineer

Brookfield, WI · On-site

$65K - $88K/yr

Utilize data analytics to identify opportunities, measure the effectiveness of improvements, and ... Experience and/or Training: Entry-Level with industrial engineering or manufacturing process ...

ATI

Machining Engineer (Entry Level)

Cudahy, WI

We are currently hiring an Entry-Level Machining Engineer at our Cudahy, WI location. As a ... Collect and analyze process data and evaluate simulation results to make engineering assessments.

ATI

Machining Engineer (Entry Level)

Cudahy, WI · On-site

We are currently hiring an Entry-Level Machining Engineer at our Cudahy, WI location. As a ... Collect and analyze process data and evaluate simulation results to make engineering assessments.

Rural Mutual Insurance

Data Engineer

Milwaukee, WI · On-site +1

$112K - $135K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

TERRACON

Entry Level Labratory Technician

Cudahy, WI

$18.50 - $22.25/hr

Communicate with project manager, engineering technicians, client representative, contractor ... analysis. Tabulate, prepare, and submit data and observation in the form of written and digital ...

TERRACON

Entry Level Labratory Technician

Cudahy, WI · On-site

$18.50 - $22.25/hr

Communicate with project manager, engineering technicians, client representative, contractor ... analysis. Tabulate, prepare, and submit data and observation in the form of written and digital ...

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All JobsData Analyst R Programming JobsEntry Level Data Analyst R Programming JobsEntry Level Data Analyst R Programming Jobs in Milwaukee, WI

Entry Level Data Analyst R Programming information

See Milwaukee, WI salary details

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How much do entry level data analyst r programming jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for entry level data analyst r programming in Milwaukee, WI is $32.44, according to ZipRecruiter salary data. Most workers in this role earn between $20.87 and $36.25 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What is an entry level data analyst r programming?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What skills and qualifications are needed to thrive as an entry level data analyst r programming?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.
What are popular job titles related to Entry Level Data Analyst R Programming jobs in Milwaukee, WI? For Entry Level Data Analyst R Programming jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst R Programming jobs in Milwaukee, WI look for? The top searched job categories for Entry Level Data Analyst R Programming jobs in Milwaukee, WI are:
Entry Level Data Analyst R Programming jobs near you
Infographic showing various Entry Level Data Analyst R Programming job openings in Milwaukee, WI as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $67,477 per year, or $32.4 per hour.

Data Scientist

ATI

Cudahy, WI • On-site

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.

We thrive 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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