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Afternoon Data Analyst R Programming Jobs in Fitchburg, WI

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 ...

... analytics, machine learning, and federated research capabilities whilemaintainingcompliance with HIPAA and institutional data governance standards. Working closely with data engineers, AI specialists ...

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 ...

We're a team that owns our work with accountability, makes data-driven decisions, embraces ... Proficiency with Microsoft Excel; experience with SQL, SAS, R, or Python is a plus * Excellent ...

Demonstrated experience collaborating with data scientists, analysts, and AI practitioners, and understanding how engineering choices affect downstream analytics and AI work. * Broad familiarity with ...

Demonstrated experience collaborating with data scientists, analysts, and AI practitioners, and understanding how engineering choices affect downstream analytics and AI work. * Broad familiarity with ...

Digital Analyst Internships

Madison, WI

$99K - $117K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Madison, WI · On-site

$99K - $117K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.

Description Join Rural Mutual Insurance's Actuarial team and help drive data-informed decisions ... SQL, Python, R, SAS, Power BI, or similar analytical tools is preferred. • Experience with ...

New

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.

Data Engineer - REMOTE

Madison, WI · Remote

$120K - $160K/yr

... Analysis, Development, Design) as needed. Every member within a cross-functional team is a leader ... Expertise in SQL and one or more programming languages (e.g., Python, Java, Scala). * Experience ...

Showing results 41-60

Afternoon Data Analyst R Programming information

See Fitchburg, WI salary details

$35.9K

$87.1K

$143.4K

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

As of Aug 6, 2026, the average yearly pay for afternoon data analyst r programming in Fitchburg, WI is $87,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $102,300.00 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 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?

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 job categories do people searching Afternoon Data Analyst R Programming jobs in Fitchburg, WI look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Fitchburg, WI are:
Infographic showing various Afternoon Data Analyst R Programming job openings in Fitchburg, WI as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,149 per year, or $41.9 per hour.

Sr. Data Engineer

Abbott

Madison, WI • On-site

$115K - $138K/yr

Full-time

Posted 7 days ago


Abbott rating

7.9

Company rating: 7.9 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

159th of 536 rated manufacturers


Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.
JOB DESCRIPTION:
Position Overview
As a Senior Data Engineer, this seasoned professional will demonstrate competence and creativity in a wide range of technical areas. This role will have a lead role in the design, development, and testing of software applications for Exact Sciences, creating expert design concepts and foolproof debugging. This role will be able to resolve most issues and problems effectively with minimal oversight, communicate effectively with business stakeholders and mentor junior team members. This role will routinely make key decisions for the team, be accountable for application quality, and be highly productive.
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 database architectures to address business requirements, ensuring system scalability, security, performance, and reliability. Additionally, you will design and document database applications such as interfaces, data transfer mechanisms, and data partitions to enable efficient access of the generic database structure.
This role is based in Madison, WI.
Essential Duties
Include, but are not limited to, the following:
  • Has complete knowledge, skills, and understanding of practices for complex programs and initiatives demonstrating creativity and substantial understanding of specialized techniques, processes, procedures.
  • Troubleshoot issues and problems of medium complexity for major software applications; break down complex tasks, make reasonable decisions, investigate and fix bugs, and operate independently.
  • Initiate independent designs that impact and influence the department's delivery and approach. Lead reviewing design alternatives, problems, and solutions with an eye on limiting the need for later problem solving.
  • Consistently influence and make significant decisions within a project, demonstrating good judgment in selecting methods and techniques for obtaining solutions based in a solid understanding of business strategy and best practices with minimal instructions for difficult or unpredictable situations.
  • Contribute individual capabilities to the achievement of group objectives, and work effectively with others in a group setting. This includes mentoring, coaching, and technical guidance for junior members of the team.
  • Build successful internal and external partnerships with peers, SMEs, stakeholders, and decision-makers.
  • Communicate clear and concise project plans/designs and status updates for a project.
  • Ability to work nights and/or weekends, as needed.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company's Quality Management System policies and procedures.
  • Maintain regular and reliable attendance.
  • Ability to act with an inclusion mindset and model these behaviors for the organization.

Minimum Qualifications
  • Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or Engineering; or High School Diploma/General Education Degree and 4 years of relevant experience as outlined in the essential duties in lieu of Bachelor's Degree.
  • Complete knowledge and full understanding of software development design and development, and relevant domain specific skills (see below).
  • Spark on Snowflake or Databricks.
  • Python, Scala, SQL development.
  • ETL data pipelines.
  • Designing and implementing data modeling solutions using relational, dimensional, and/or NoSQL databases.
  • Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools.
  • Big Data file formats (Parquet, Avro, Delta Lake).
  • Cloud Infrastructure services (i.e., AWS, SQS, S3, and GitLab).
  • Agile development tools; including, but not limited to, JIRA, Confluence repository.
  • RestAPI development.
  • Tableau, ideally including performance optimization.
  • Demonstrated ability to perform the essential duties of the position with or without accommodation.
  • Applicants must be currently authorized to work in country where work will be performed on a full or part-time basis. We are unable to sponsor or take over sponsorship of employment visas at this time.

Preferred Qualifications
  • Advanced understanding of Model Context Protocol (MCP), including consuming packaged MCP integrations (e.g., Atlassian), configuring custom MCP servers, and developing MCP and skills integrations to extend AI tooling within data workflows.
  • Familiarity with customer data platform (CDP) concepts, Braze or other patient/provider communications workflows/processes.

The base pay for this position is
$78,000.00 - $156,000.00
In specific locations, the pay range may vary from the range posted.
JOB FAMILY:
Product Development
DIVISION:
ONCO Cancer Diagnostics
LOCATION:
United States > Madison : 1 Exact Lane
ADDITIONAL LOCATIONS:
WORK SHIFT:
Standard
TRAVEL:
No
MEDICAL SURVEILLANCE:
Not Applicable
SIGNIFICANT WORK ACTIVITIES:
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)
Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.
EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf
EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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