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Afternoon Data Analyst R Programming Jobs in Waunakee, WI

Husch Blackwell LLP

Enterprise Data Analyst

Madison, WI · On-site +1

Partner with the Data Engineering team to source, integrate, and validate data from across the Firm ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...

Husch Blackwell Llp

Enterprise Data Analyst

Madison, WI · On-site +1

Partner with the Data Engineering team to source, integrate, and validate data from across the Firm ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...

Sub-Zero & Wolf Appliance

Data Analyst II

Madison, WI · On-site

The Data and Analytics Team within the Information Technology department provides enterprise data engineering, analytics, reporting, visualization, and predictive analytics solutions. The team ...

Sub-Zero Group, Inc.

Data Analyst II

Madison, WI · On-site

The Data and Analytics Team within the Information Technology department provides enterprise data engineering, analytics, reporting, visualization, and predictive analytics solutions. The team ...

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 ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

... analytical solutions leveraging data science, data engineering and decision science to provide ... Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional ...

Innovizant LLC

Data Scientist

Madison, WI

... analytical solutions leveraging data science, data engineering and decision science to provide ... Extremely efficient in Python and R. Extremely efficient in identifying right analytics model ...

Polco

Data Scientist

Madison, WI · On-site

... SQL (R is a plus) on large, cloud-based datasets (Snowflake), this is the role for you. While ... Partner with our Engineering Team to automate data workflows (ingest, cleaning, analytics ...

Polco

Data Scientist

Madison, WI · On-site

... SQL (R is a plus) on large, cloud-based datasets (Snowflake), this is the role for you. While ... Partner with our Engineering Team to automate data workflows (ingest, cleaning, analytics ...

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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 Sep 12, 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 are popular job titles related to Afternoon Data Analyst R Programming jobs in Waunakee, WI?

For Afternoon Data Analyst R Programming jobs in Waunakee, WI, the most frequently searched job titles 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 Analyst

Madison, WI • On-site

Laurits R. Christensen Associates, Inc.
51 - 200 employees
Learn more about Laurits R. Christensen Associates, Inc.external

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Key responsibilities

  • Collect and transform raw data into meaningful statistics, information, and explanations.

  • Clean, analyze, interpret, and display client data using different approaches and tools.

  • Assist senior team members in writing and reviewing reports.

Job description

Christensen Associates is looking for a full-time Data Analyst I to join our Madison, Wisconsin team. In this role, you will join a larger team of analysts to solve complex, real-world problems for a large logistics client.

Candidates must be willing and able to work in our Madison, Wisconsin office. This is not a remote position.

Candidates must be legally authorized to work in the U.S. for any employer. We are unable to sponsor individuals for a work visa or other employment authorization at time of hire or in the future (e.g., H-1B, green card, etc.).

Key Responsibilities:
  • Collect and transform raw data into meaningful statistics, information, and explanations.
  • Clean, analyze, interpret, and display client data using different approaches and tools.
  • Troubleshoot data issues when they arise and find creative solutions to complex problems.
  • Learn one or more areas of our client’s operations and their corresponding data sets and use that knowledge to answer questions.
  • Assist senior team members in writing and reviewing reports.
  • Provide data to others to fulfill project requirements (e.g., cost models, pricing strategies, regulatory reporting, and/or productivity measurement reports).
  • Identify and recommend process improvements and efficiencies.
Qualifications:
  • Bachelor’s or master’s degree in computer/data science, data analytics, economics, statistics, math, or similar with a history of strong academic performance. We are willing to consider December 2026 graduates, however, preference will be given to those who have graduated.
  • Analytically and technically minded with the aptitude, ability, and interest in solving complex problems and learning new things.
  • Knowledgeable in data analysis concepts (e.g., data cleaning, aggregation, visualization, etc.)
  • Proficient in the Microsoft Office Suite (with intermediate knowledge of Excel) and software used for data manipulation (e.g., Python, SQL, SAS, or similar).
  • Strong communication skills (verbal and written), organizational skills, and a rigorous attention to detail.
  • Able to work independently and as part of a team in a deadline-driven environment while handling multiple competing priorities.
  • Successful completion of a federal security clearance including drug screen and background check is required.
Why you should join our team:
  • Meaningful work – You’llwork alongside highly experienced experts to solve complex, real‑world problems using creativity, scientific rigor, and deep institutional knowledge.Our small teams and our flat organizational structure allow us to prioritize quick, direct contact with clients, allowing you to build relationships, understand client needs, and see the results of your work in real time.
  • Our ESOP sets us apart – Working at an employee-owned company meansyou’remore than just an employee, you’rean owner. Through the ESOP, you build real equity over time at no out-of-pocket cost, turning your everyday work into long-term financial growth. As the company succeeds, so do you. ESOPs also foster a culture of accountability, collaboration, and shared purpose, because everyone has a stake in the outcome. The result is a more transparent, motivating, and rewarding place to grow your career while building meaningful wealth for the future.
  • Total rewards package – We offer health, dental, vision, life/AD&D, long-term disability, a 401(k), and agenerous ESOP contributionthat grows as we grow.You’llalso receive paid holidays, vacation,sick, and personal time.We offer minimal travel,a casualdress code, private offices, and amenities like underground parking. Flexible schedules and comp time for hours over 40 support a healthy balance between work and life.
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