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Afternoon Data Analyst R Programming Jobs in Fort Atkinson, WI

Sr. Project Engineer

Pewaukee, WI · On-site

$96K - $126K/yr

Perform data analysis utilizing DOE, SPC, and FMEA tools regularly throughout product life cycle ... Create accurate documentation to support NPI process including DVP&R, BOM, Routing, 3D drawings ...

Responsibilities * Develop and execute engineering test plans (DVP&R) to validate product ... Collect, analyze, and interpret engineering test data and present findings and recommendations ...

Responsibilities * Develop and execute engineering test plans (DVP&R) to validate product ... Collect, analyze, and interpret engineering test data and present findings and recommendations ...

Data Engineer

Madison, WI · On-site

$114K - $137K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the ... Develop and support batch and streaming data architectures for reporting, analytics, and AI/ML ...

Data Engineer

Madison, WI · On-site

$114K - $137K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the ... Develop and support batch and streaming data architectures for reporting, analytics, and AI/ML ...

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 ...

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 ...

Data Engineer

Madison, WI

$114K - $137K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the ... Develop and support batch and streaming data architectures for reporting, analytics, and AI/ML ...

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the ... Develop and support batch and streaming data architectures for reporting, analytics, and AI/ML ...

Data Engineer

Madison, WI · On-site +1

$114K - $137K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the ... Develop and support batch and streaming data architectures for reporting, analytics, and AI/ML ...

Quality Engineer

Johnson Creek, WI · On-site

$72K - $93K/yr

Experience with CMM programming (e.g., Zeiss, Keyence, Mitutoyo). * Software ... Proficiency in MS Office (especially Excel for data analysis) and quality management software.

Sr. Data Engineer

Madison, WI · On-site

$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 ...

Sr. Data Engineer

Madison, WI · On-site

$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 ...

Sr. Data Engineer

Madison, WI · On-site

$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 ...

Lead Data Engineer

Madison, WI · On-site

$115K - $138K/yr

... business analytics and data science. - Collaborate with stakeholders to translate business requirements into robust data solutions. - Implement CI/CD, DevOps practices, and automated deployment ...

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Showing results 41-60

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:

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.

Healthcare Data and Analytics Specialist - Remote - USA

Madison, WI • On-site, Remote

FullStack Labs
IT Services • 11 - 50 employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

About FullStack
FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.1-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
We're looking to hire a Healthcare Data and Analytics Specialist to join our team. You'll work with our incredible clients in one of two ways:
  • Team Augmentation: You will integrate directly into our client's team and work alongside their existing designers and engineers daily.
  • Design & Build: You will work on a FullStack product team to build and deliver a product to our clients.

What We Are Looking For
  • 5+ years of professional software engineering, data analysis, or data operations experience.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Deep experience in working with healthcare data, including medical claims, pharmacy claims, eligibility, enrollment, or payer/TPA/PBM benefits.
  • Expertise in using SQL to join complex datasets, investigate discrepancies, and construct maintainable analytical logic.
  • Solid background in healthcare data validation, reconciliation, data quality monitoring, and data operations workflows.
  • Solid understanding of healthcare claims structures, terminology, utilization, and financial metrics (such as allowed and paid amounts).
  • Track record of creating recurring analytical reporting, data dictionaries, and metric definitions for clients, employers, or executives.
  • Demonstrated experience investigating data issues and tracing discrepancies through different stages of a data ecosystem.
  • Comfortable working with relational databases (such as PostgreSQL) and familiar with file transmissions like SFTP, flat files, or APIs.
  • Knowledgeable in HIPAA compliance, protected health information (PHI) regulations, and healthcare data security controls.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile/Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on the commitments you and your team make to them.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave. parental leave, and holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .

FullStack Labs logo

About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

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