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Afternoon Data Analyst R Programming Jobs in Fitchburg, WI

Trans Ova Genetics

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Reporting and Analytics * Collaborate with business users, scientists, geneticists, and ... Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics ...

AgSource

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Reporting and Analytics * Collaborate with business users, scientists, geneticists, and ... Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics ...

Summit Credit Union

Data Engineer (Hybrid)

Cottage Grove, WI · On-site

$108K - $130K/yr

As a Data Engineer, you'll play a critical role in shaping and executing Summit's data strategy ... Analyze complex datasets to identify trends, answer business questions, and support informed ...

Urus Group LP

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Reporting and Analytics * Collaborate with business users, scientists, geneticists, and ... Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics ...

Urus

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Reporting and Analytics * Collaborate with business users, scientists, geneticists, and ... Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics ...

Farm Systems

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Reporting and Analytics * Collaborate with business users, scientists, geneticists, and ... Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics ...

Wisconsin

Data Scientist II or III

Madison, WI · On-site

$85K/yr

... analytics. * Advanced proficiency with statistical software and programming languages, specifically Python and R. * Experience using and managing workflows in open-source platforms like GitHub, for ...

Imedica

Affordability Analyst III

Madison, WI · On-site

$90K - $155K/yr

Strong proficiently in data analysis tools (e.g., SQL, Python, R, Excel) and visualization techniques/software (e.g. Power BI, Tableau) * Proven experience in developing and implementing data ...

System One

Databricks Engineer

Madison, WI · On-site

The candidate shall also demonstrate the below knowledge and experience: • Strong proficiency in Python and R for data engineering and analytical workflows. • Hands-on experience with Databricks ...

The Weather Channel

Senior Data Scientist

Madison, WI · On-site

Improve operations by conducting systems analysis; recommending changes in policy and procedures ... Programming capabilities including C++, Java, Python is a plus but not necessary. Additional ...

Abbott

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust IT solutions that deliver advanced data analytics capabilities to the organization. You will develop ...

Abbott

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust IT solutions that deliver advanced data analytics capabilities to the organization. You will develop ...

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Showing results 21-40

All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Fitchburg, WI

Afternoon Data Analyst R Programming information

See Fitchburg, WI salary details

$35.9K

$87.1K

$143.4K

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

As of Aug 6, 2026, the average yearly pay for afternoon data analyst r programming in Fitchburg, WI is $87,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $102,300.00 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 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 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Fitchburg, WI look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Fitchburg, WI are:
Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Fitchburg, WI as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,149 per year, or $41.9 per hour.

IT Product Configuration Business Analyst (Modeler)

Springs Window Fashions

Middleton, WI • On-site

$75K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago

Springs Window Fashions rating

6.7

Company rating: 6.7 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Job description

Description
The Best Experience Company
Our tagline is "The Best Experience Company." More than just a set of words, it represents the essence of who we are at Springs Window Fashions. As North America's premier window covering company, we're committed to creating the Best Experience for our associates, consumers and end users, business partners, and communities. We want you to join our team of passionate self-starters who believe the world is full of Best Experience opportunities. So, if you're excited about the thought of a Best Experience career with a team focused on creating Best Experiences for all, we want to hear from you!
The IT Product Configuration Business Analyst (Modeler) translates customer design choices into custom window coverings. This role ensures that dealers, end users, and manufacturing systems interact with product information that is clear, validated, and production ready. Working across product management, engineering, IT, and operations, the modeler configures, documents, and maintains electronic product rules that drive ordering accuracy, pricing, and manufacturability.
The ideal candidate is detail-oriented, logically minded, and experienced with product-based rules, conditional logic, and structured data. They should enjoy collaborating with business teams, solving ambiguity, and turning product knowledge into clean, reliable configuration logic.
Key Responsibilities
Product Modeling & Configuration
  • Build and maintain product configuration models using internal tools (e.g., Magic Tool, Frontier/FRN platforms, PCM workbench).
  • Translate business and engineering requirements into rules, validations, option logic, segment structures, and dynamic behavior.
  • Configure model options, families, select tables, matrices, color lists, and dependent attributes for new and existing products.
  • Maintain dynamic SKU or single-SKU logic depending on product strategy.

Cross-Functional Coordination
  • Partner closely with product managers, engineers, and internal customers to document requirements and ensure accurate model behavior.
  • Support manufacturing, purchasing, and customer service by ensuring configuration outputs match operational needs and production flows.
  • Participate in product introduction planning and model setup for new launches (such as Roman shades, awnings, power shades, etc.).

Data & Rule Quality Assurance
  • Conduct testing to ensure correct rule execution, error handling, and compatibility logic.
  • Troubleshoot issues in production ordering or manufacturing systems related to configuration defects.
  • Validate configuration lists, matrices, retrieval tables, BOM-related logic, and display behavior for end-users.

Documentation & Standards
  • Create and maintain documentation for configuration rules, logic flows, product behavior, and change logs.
  • Follow established naming conventions, configuration standards, and modeling processes as outlined in internal modeling guides (e.g., MagicToolTaskNotes).
  • Contribute to process improvements and best practices for configuration modeling across the organization.

Requirements
Education and Experience
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, or equivalent experience.
  • 5+ years in a manufacturing environment.
  • Strong analytical and logical reasoning skills.
  • Ability to interpret product specifications, BOM structures, and engineering requirements.
  • High attention to detail and ability to manage complex rule sets.
  • Proficiency in Excel and comfort working with structured data.
  • Strong written and verbal communication skills with the ability to collaborate across teams.

Preferred Qualifications
  • Experience in window treatments or other highly configurable product industries.
  • Experience with product configuration systems (Frontier 2.2 / 3.2 / 4.2, Magic Tool, PCM, or similar).
  • Familiarity with scripting logic, matrices, or rule-driven systems.
  • Experience supporting both ordering and manufacturing configuration flows.
  • Ability to work with IT teams on integrations, data mapping, or tool enhancements.

How We Work to Deliver a Best Experience: Our Culture
  • Our Core Value: We do the right thing, always
  • Our Seven Cultural Behaviors
    • Empowerment - We trust our people.
    • Ownership - We take 100% responsibility for our roles actions, and results.
    • Leadership - We all lead by example and talk direct with respect (DWR).
    • One Team - We are One Springs Team.
    • Customer First - We consider our customers' needs before every decision.
    • Continuous Innovation - We are constantly learning, innovating, and improving.
    • Speed - We define priorities and operate with a sense of urgency and agility.

The annual base/hourly wage for this position is reasonably expected to be $75,000/year. Factors which may affect starting pay may include geography/market, skills, education, experience and other qualifications of the successful candidate.
This position is eligible for an annual bonus as well of up to 5%.
Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan with up to 5% company match of eligible contributions, life insurance, long-term disability insurance, short-term disability insurance, paid sick time at an amount that meets or exceeds all local requirements, paid vacation time (pro-rated for current year based on start date), paid holidays per year, and one paid volunteer day off per year.

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