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Afternoon Data Analyst R Programming Jobs in Wisconsin

Rogers Behavioral Health

Data Analyst

Oconomowoc, WI · On-site +1

The Data Analyst plays an essential role in supporting data gathering, analysis, and report ... Experience with at least one statistical programming language (e.g., R, Python, SAS, Stata, etc.

Continuus Technologies LLC

Senior Data Analyst

Germantown, WI · On-site

$87K - $110K/yr

Experience with Python or R for analysis * Knowledge of statistical methods and experimentation * Familiarity with data modeling or data engineering concepts * Domain expertise (e.g., finance, HR ...

TTM Technologies

Data Analyst

Chippewa Falls, WI · On-site

Collaborate with the production engineering staff in preparing & maintaining capacity models and plans * Determine the correct data sets and variables * Collect large sets of structured and ...

Ttmtech

Data Analyst

Chippewa Falls, WI

Collaborate with the production engineering staff in preparing & maintaining capacity models and plans * Determinethe correctdata sets and variables * Collect large sets of structured and ...

Newance

Data Analyst

Brookfield, WI · On-site

Partner with BI Developers and Data Engineering to deliver scalable, automated reporting solutions ... Analytics Advancement * Identify gaps in data feeds and scope new sources to advance analytics ...

MLG Capital

Data Analyst

Brookfield, WI · On-site

Partner with BI Developers and Data Engineering to deliver scalable, automated reporting solutions ... Analytics Advancement * Identify gaps in data feeds and scope new sources to advance analytics ...

Rural Mutual Insurance

Data Analyst

Madison, WI · Remote

$115K/yr

Stay current with emerging trends and technologies in business intelligence, data engineering, and ... Strong analytical skills with the ability to interpret complex datasets and translate findings into ...

Rural Mutual Insurance

Data Analyst

Madison, WI · Remote

$115K/yr

Stay current with emerging trends and technologies in business intelligence, data engineering, and ... Strong analytical skills with the ability to interpret complex datasets and translate findings into ...

TIER4 GROUP

Senior Data Analyst

Milwaukee, WI · Hybrid

$84K - $106K/yr

Proficiency in Excel, SQL, R, Python, and familiarity with BI tools like Tableau or PowerBI. * Strong data collection, quality assurance, and analytical skills to ensure accurate and reliable ...

U.S. Bank

Data Analyst

Milwaukee, WI · On-site

Partner with technical resources (e.g., developers, data engineers) to communicate business and ... Strong analytical skills with the ability to design and execute structured testing and validation ...

US Bank

Data Analyst

Milwaukee, WI · Hybrid

Partner with technical resources (e.g., developers, data engineers) to communicate business and ... Strong analytical skills with the ability to design and execute structured testing and validation ...

Rural Mutual Insurance

Data Analyst

Madison, WI · On-site +1

We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting ... and engineering initiatives. * This is a remote position. * Candidates must live and work in ...

Rural Mutual Insurance

Data Analyst

Milwaukee, WI · On-site

We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting ... and engineering initiatives. * This is a remote position. * Candidate must live and work in ...

ULINE

Data Analyst

Kenosha, WI · On-site

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... VBA (or similar) programming knowledge required. * Robotic Process Automation (RPA) experience ...

ULINE

Data Analyst

Milwaukee, WI · On-site

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... VBA (or similar) programming knowledge required. * Robotic Process Automation (RPA) experience ...

Uline

Data Analyst

Pleasant Prairie, WI · On-site

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... VBA (or similar) programming knowledge required. * Robotic Process Automation (RPA) experience ...

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Afternoon Data Analyst R Programming information

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, and why are they important?

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 the most commonly searched types of Data Analyst R Programming jobs in Wisconsin? The most popular types of Data Analyst R Programming jobs in Wisconsin are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Wisconsin? For Afternoon Data Analyst R Programming jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Wisconsin look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Wisconsin are:
What cities in Wisconsin are hiring for Afternoon Data Analyst R Programming jobs? Cities in Wisconsin 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 Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 55% Full Time, 35% Part Time, 2% Temporary, 2% Contract, and 5% Nights. Highlights an 99% Physical, and 1% Remote job distribution.
Data Analyst

Data Analyst

Rogers Behavioral Health

Oconomowoc, WI

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago

Rogers Behavioral Health rating

6.0

Company rating: 6.0 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

746th of 886 rated healthcare providers

Job description

Summary:
The Data Analyst plays an essential role in supporting data gathering, analysis, and report development. This position will utilize data and develop reports, while also being dedicated to learning the fundamentals of data analysis and developing foundational skills to contribute to the organization's data-driven initiatives. The Data Analyst will assist senior team members while also creating output to help system leaders in understanding key metrics.Job Duties & Responsibilities:Data Gathering and Reporting:
  • Assist in retrieving data from various sources and build reports and dashboards to visualize key metrics to system leader and/or assist with creating research datasets
  • Participate in data management tasks by querying and merging datasets.
  • Learn and develop proficiency in data analysis tools and software such as Power BI, R, SQL, Microsoft Office, Python, and others.
Data Extraction and Utilization:
  • Collaborate with the team to develop a fundamental understanding of data sources and the data extraction process.
  • Support team with data extraction and utilization efforts.
  • Assist with contextualizing data and data flow automation.
Collaboration and Learning:
  • Work closely with data analysts and leaders to understand business needs and contribute to data-driven decision-making.
  • Participate in innovative data analysis projects and contribute to the organization's journey towards becoming more data-driven.
Data Analysis Support:
  • Learn and provide support for data analysis tasks, such as data cleaning and statistical analysis.
  • Contribute to data-driven hypothesis testing, A/B testing, regression analysis, and other statistical methods.
Effective Communication:
  • Participate in meetings and assist in presenting basic reports, findings, and analyses to stakeholders within the system.
Promote a team atmosphere by treating individuals with respect and honesty and by using direct communication and active listening skills.
  • Be open to change and actively support change.
  • Be open to others' ideas and points of view.
  • Evaluate employees objectively and provide employees with periodic feedback.
Promote department goals as well as the mission of the hospital.
  • Communicate goals to fellow staff members.
  • Maintain department policies and procedures.
  • Include requirements and guidelines from external agencies (i.e., Joint Commission, State of Wisconsin).
  • Maintain and/or communicate to appropriate party function backlog at a set time.
  • Educate new staff regarding regulations or requirements of those functions that relate to their areas or departments, as directed.
  • Demonstrate acceptance and training of student interns in the department, as directed.
Participate in hospital committees, performance improvement team meetings, and team projects, as directed.
  • Demonstrate punctuality and preparedness.
  • Demonstrate effective communication skills.
  • Demonstrate good organizational skills.
  • Contribute in a positive, solution-focused manner.
Conduct self in a professional manner.
  • Demonstrate organizational skills that promote timely response to all inquiries and to task completion.
  • Communicate with all individuals in a positive and professional manner.
  • Attempt to resolve individual issues with peers in a positive, calm manner, with a focus on solution.
  • Communicate concerns and provide solutions for same.
  • Project a professional image by wearing appropriate, professional attire.
  • Ability to influence departments within Rogers and provide technical guidance.

Additional Job Description:

Requirements/Qualifications
  • Bachelor's degree in a relevant field (e.g., computer science, math/statistics, economics, psychology, etc.).
  • 1-3 years of experience in a data analysis-related role
  • Strong interest in data analysis and a willingness to learn and grow in the field.
  • Experience with data visualization tools (e.g., Power BI, Tableau, Looker, etc.).
  • Experience with at least one statistical programming language (e.g., R, Python, SAS, Stata, etc.).
  • Experience querying data using SQL scripting.
  • Experience with Microsoft Fabric is highly preferrred.
  • A desire to build foundational knowledge in advanced analytic/statistical methods.
  • Exceptional written and verbal communication skills.
  • A meticulous and detail-oriented approach.

With a career at Rogers, you can look forward to a Total Rewards package of benefits, including:

  • Health, dental, and vision insurance coverage for you and your family
  • 401(k) retirement plan
  • Employee share program
  • Life/disability insurance
  • Flex spending accounts
  • Tuition reimbursement
  • Health and wellness program
  • Employee assistance program (EAP)

Through UnitedHealthcare, UMR and HealthSCOPE Benefits creates and publishes the Machine-Readable Files on behalf of Rogers Behavioral Health.To link to the Machine-Readable Files, please visitTransparency in Coverage (uhc.com)

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