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Afternoon Data Analyst R Programming Jobs in Waunakee, WI

Rural Mutual Insurance

Data Engineer

Madison, WI · On-site

$120K/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 ...

Wisconsin

Clinical Research Data Specialist

Madison, WI

$62K/yr

  • Retirement

  • PTO

... data for analysis is preferred. Familiarity with coding languages such as R, Python, Matlab, or ... Engineering, or related field preferred. How to Apply: For the best experience completing your ...

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 ...

TruStage Insurance Agency, LLC

Analytics Analyst

Madison, WI · On-site

$91 - $137/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

R-012040At TruStage, we're on a mission to make a brighter financial future accessible to everyone ... Collaborate with analytics engineering teams to set up data pipelines and deploy analytics ...

New

Wisconsin

Data Scientist II or III

Madison, WI · On-site

$85K/yr

  • Retirement

  • PTO

... 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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Doist

Data Scientist - Market Research

Madison, WI · On-site

$110 - $150/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Analytics. The successful candidate will apply those skills to build innovative data-driven ... Partner with product managers and engineers to define requirements and design data-driven ...

New

Munich Re

Data and AI Enterprise Architect

Madison, WI

  • Medical

  • Life

  • Retirement

  • PTO

This role is accountable for proactively leading data, analytics, and AIdriven technology ... Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ...

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

Afternoon Data Analyst R Programming information

See Waunakee, WI salary details

$34.8K

$84.5K

$139.1K

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

As of Aug 20, 2026, the average yearly pay for afternoon data analyst r programming in Waunakee, WI is $84,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $99,200.00 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Waunakee, WI look for?

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

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

Cities near Waunakee, 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 Waunakee, WI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $84,507 per year, or $40.6 per hour.

Data Engineer

Rural Mutual Insurance

Madison, WI • On-site

$120K/yr

Full-time

Re-posted 3 days ago

Job description

Rural Mutual Insurance is looking for an experienced and motivated data professional to play a critical role in the design, development, and maintenance of the company’s data warehouse and related data marts.

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 initiatives. The ideal candidate will have a deep understanding of data engineering and data modeling principles, with a proven track record of designing, implementing, and maintaining robust, scalable data pipelines and models on cloud platforms. 

This is a remote position with periodic on-site presence required. Candidates must live and work in Wisconsin and have eligibility to work in the United States without sponsorship. 

If you're ready to be part of a team that values your expertise and encourages your professional growth, apply today!

Rural Mutual, a leading property and casualty insurance company based in Wisconsin, is well known for its financial strength and longevity in the insurance industry. Our reputation in the marketplace ensures stability and opens up numerous growth opportunities for our employees. Committed to our employees and their families, we offer a suite of benefits promoting health and wellness. We prioritize work-life balance, offering flexible start times as well as summer hours for this role. Join our experienced and talented team of IT professionals dedicated to excellence, innovation, and collaboration. 

Compensation:

$105,000 - $120,000 yearly


Responsibilities:
  • Architect, design, and implement scalable data pipelines and integration frameworks that support enterprise analytics, reporting, and data-driven decision making.
  • Optimize data pipelines and models for performance, scalability, and cost-efficiency.
  • Design and implement dimensional (star schema) data models that accurately represent business processes and support analytical needs.
  • Partner with business stakeholders, analysts, and technical teams to translate complex business requirements into scalable and sustainable data solutions.
  • Implement data validation and quality checks to ensure the integrity and accuracy of the data and subsequent analytics.
  • Monitor and maintain data pipelines and systems, identify issues, and implement solutions to ensure continuity and uptime.
  • Create and maintain comprehensive documentation for data pipelines and models.
  • Evaluate emerging technologies and recommend improvements to the organization's data architecture, engineering and modeling practices.

Qualifications:

  • Bachelor’s Degree in Computer Science, Data Analytics, Software Engineering, or related field, or an equivalent combination of education and experience.

  • Proven experience designing, implementing, and supporting enterprise data warehouse and analytics solutions.

  • Deep expertise designing and optimizing modern data integration and enterprise-scale ETL/ELT solutions using Fivetran and dbt.

  • Strong experience designing and supporting Snowflake-based data warehouse solutions.

  • Strong with SQL and other programming languages. (Python preferred).

  • Experience with version control and code management within a multi-tier code repository.

  • Experience in designing and implementing dimension (star schema) data models.

  • Proven ability to translate business requirements into successful data solutions.

  • Experience using Infrastructure as Code tools. (preferred).

  • Experience in the property and casualty insurance industry. (preferred).

  • Candidate must live and work in Wisconsin.

  • Eligible to work in the United States without sponsorship.


About Company

What You'll Love About Rural Mutual Insurance:

We are a leading property and casualty insurance company based in Wisconsin, well known for our financial strength and longevity in the insurance industry. Our reputation in the marketplace ensures stability and opens up numerous growth opportunities for our employees.

We created a welcoming place to work with friendly and professional leadership. We are known for the great care we take with our staff, our agents, and our customers. We are passionate and determined about delivering the best customer service, preserving insurance industry knowledge, and making a difference through the work that we do.

We believe in a healthy work/life balance and, to that end, offer a competitive and comprehensive compensation package including health, dental, life, LTD, and vision insurance as well as an employee bonus plan, matching 401(k) plan, and generous time off benefits. Rural Mutual is an Equal Opportunity employer.