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Afternoon Data Analyst R Programming Jobs in Fort Atkinson, WI

Generac

Data Science Analyst

Waukesha, WI · On-site

... programming languages. *This is not a remote role, the ideal candidate will need to be located in ... R, Python, SQL). * Experience on using the cloud platform (ex Azure, AWS..) * Experience with ...

BCforward

Data Analyst II

Waukesha, WI · On-site

$21.60/hr

Data Analyst II Waukesha, WI, USA, 53188 $21.60/hr on w2 12/12/2016 to 06/16/2017 Global Services ... life cycle, engineering, and sourcing teams while learning about part process flows and part ...

Varsity Tutors

Data Science Tutor

Madison, WI · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Generac

Senior Platform & Analytics Analyst

Waukesha, WI · On-site

$86K - $108K/yr

Bachelor's degree in Data Science, Computer Science, Industrial Engineering, Statistics, or a ... Proficiency in SQL, Python, R, or similar languages for data manipulation and analysis. * Expertise ...

Farm Systems

Dairy Data Scientist

Madison, WI · On-site

Some hands-on programming or analytics experience with tools such as Python, R, SQL, SAS, or ... Curiosity and willingness to learn new data platforms and technologies. Even Better If You Bring

AgSource

Dairy Data Scientist

Watertown, WI · On-site +1

Some hands-on programming or analytics experience with tools such as Python, R, SQL, SAS, or ... Curiosity and willingness to learn new data platforms and technologies. Even Better If You Bring

Urus Group LP

Dairy Data Scientist

Watertown, WI · On-site +1

Some hands-on programming or analytics experience with tools such as Python, R, SQL, SAS, or ... Curiosity and willingness to learn new data platforms and technologies. Even Better If You Bring

AgSource

Dairy Data Scientist

Madison, WI · On-site

Some hands-on programming or analytics experience with tools such as Python, R, SQL, SAS, or ... Curiosity and willingness to learn new data platforms and technologies. Even Better If You Bring

Urus

Dairy Data Scientist

Madison, WI · On-site

Some hands-on programming or analytics experience with tools such as Python, R, SQL, SAS, or ... Curiosity and willingness to learn new data platforms and technologies. Even Better If You Bring

MLG Capital

Analytics Engineer

Brookfield, WI · On-site

Rather than hiring a narrowly scoped reporting analyst or narrow data engineer, MLG Capital is adding a versatile utility player who can help move data from source to insight, supporting backend data ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Fort Atkinson, WI

Afternoon Data Analyst R Programming information

See Fort Atkinson, WI salary details

$31K

$75.4K

$124.1K

How much do afternoon data analyst r programming jobs pay per year?

As of Sep 12, 2026, the average yearly pay for afternoon data analyst r programming in Fort Atkinson, WI is $75,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $88,500.00 per year, depending on experience, location, and employer.

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Fort Atkinson, WI?

For Afternoon Data Analyst R Programming jobs in Fort Atkinson, WI, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Fort Atkinson, WI look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Fort Atkinson, WI are:

What cities near Fort Atkinson, WI are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Fort Atkinson, WI with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Fort Atkinson, WI as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $75,415 per year, or $36.3 per hour.

Data Science Analyst

Waukesha, WI • On-site

Generac
Electrical Equipment, Appliance, and Component Manufacturing • 1 - 10 employees
Learn more about Generacexternal

Full-time

Re-posted 5 days ago

Key responsibilities

  • Analyze structured and unstructured data using techniques such as statistical analysis, explanatory and predictive modeling, and data mining.

  • Develop and support data models, pipelines, and algorithms to produce data insights and support enterprise initiatives.

  • Assist in data preparation, cleaning, organizing, querying, merging, and extracting data across sources, and support end-users with documentation and process support.

Generac Power Systems rating

7.0

Company rating: 7.0 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

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 occasionallylift upto 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."

What Generac Power Systems employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Generac

Sourced by ZipRecruiter

Industry

Electrical equipment, appliance, and component manufacturing and engine, turbine, and power transmission equipment manufacturing

Company size

1 - 10 Employees

Headquarters location

Eagle, WI, US

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