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Afternoon Data Analyst R Programming Jobs in Waunakee, WI

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 ...

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 ...

Wisconsin

Research Specialist

Madison, WI

$48K/yr

... analysis of soil, water, and/or gases * Experience operating, troubleshooting, and calibrating scientific instrumentation in a research setting * Experience using R programming software for data ...

Trustage

Analytics Analyst

Madison, WI · On-site

Collaborate with analytics engineering teams to set up data pipelines and deploy analytics ... Alteryx, R, Python, SQL, SAS. * Ability to interpret data models in conjunction with exploratory ...

Abbott

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 ...

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 · 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 ...

Rural Mutual Insurance

Data Engineer

Madison, WI · On-site +1

$115K - $138K/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 ...

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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 22, 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.

Collibra Data Governance Developer

Techvilla Solutions

Arlington, WI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking an experienced Collibra Data Governance Developer to administer, customize, and enhance the Collibra data catalog platform. The ideal candidate will work closely with business stakeholders to understand data management processes, translate requirements into platform workflows, and develop solutions to support data governance initiatives.

This role will focus on Collibra platform configuration, workflow development, API integrations, user and asset administration, and automation using Java-based technologies. The candidate should have strong experience in data governance, data management concepts, workflow design, and application customization.

Primary Responsibilities
  • Administer and customize the Collibra Data Governance platform based on business and user requirements.
  • Configure and maintain users, roles, assets, domains, and security within Collibra.
  • Design and implement workflows using BPMN-based workflow engines such as Flowable or Activiti.
  • Develop and configure Java APIs and integrations to connect Collibra with external data sources and enterprise applications.
  • Collaborate with stakeholders to analyze business processes and translate requirements into scalable workflow solutions.
  • Customize user interfaces and optimize platform usability.
  • Support automation initiatives using scripting and programming languages including Java, Groovy, and Python.
  • Perform platform enhancements, troubleshooting, and ongoing administration activities.
  • Apply data governance and data management best practices to support enterprise data initiatives.
Required Qualifications
  • 5+ years of experience with Java and JavaScript API development.
  • 5+ years of experience with UI customization and optimization.
  • 5+ years of experience with workflow development and business process mapping.
  • 5+ years of experience in data governance, data management, or data catalog environments.
  • Experience working with Collibra platform administration and customization.
  • Strong understanding of REST APIs, integrations, and application workflows.
  • Experience with Java development tools such as Eclipse.
  • Experience with BPMN workflow frameworks (Flowable, Activiti, or similar).
Preferred Qualifications
  • Experience with Groovy scripting.
  • Python development experience.
  • Experience supporting enterprise data governance programs.
  • Knowledge of data cataloging, metadata management, and data stewardship concepts.
  • Strong analytical, problem-solving, and stakeholder communication skills.
Technical Skills
  • Collibra Data Governance Platform
  • Java
  • JavaScript
  • REST APIs
  • Groovy
  • Python (Nice to Have)
  • Eclipse
  • BPMN Workflow (Flowable / Activiti)
  • Data Governance
  • Metadata Management
  • Data Management

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