1

Afternoon Data Analyst R Programming Jobs in Nebraska

Journeyman Data Scientist

Omaha, NE · On-site

$90K - $125K/yr

Apply statistical analysis, machine learning, and data mining techniques. * Develop algorithms and predictive models using programming languages such as Python, R, or SQL. * Work with large datasets ...

Apply statistical analysis, machine learning, and data mining techniques. * Develop algorithms and predictive models using programming languages such as Python, R, or SQL. * Work with large datasets ...

Apply statistical analysis, machine learning, and data mining techniques. * Develop algorithms and predictive models using programming languages such as Python, R, or SQL. * Work with large datasets ...

... data science programming languages including Python, R, and SQL • Deep Expertise in data ... analytics, or related field; at least part of the required experience must be within the past two ...

Perform advanced data analytics, data mining, and statistical analysis to uncover actionable ... Advanced proficiency in major data science programming languages including Python, R, and SQL

Perform advanced data analytics, data mining, and statistical analysis to uncover actionable ... Advanced proficiency in major data science programming languages including Python, R, and SQL

... programming skills in Python or R with experience in data analysis libraries and platforms like Databricks for large-scale analytics • Business acumen with proven ability to translate complex ...

... programming skills in Python or R with experience in data analysis libraries and platforms like Databricks for large-scale analytics • Business acumen with proven ability to translate complex ...

next page

Showing results 1-20

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 Nebraska? The most popular types of Data Analyst R Programming jobs in Nebraska are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Nebraska? For Afternoon Data Analyst R Programming jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Nebraska look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Nebraska are:
What cities in Nebraska are hiring for Afternoon Data Analyst R Programming jobs? Cities in Nebraska with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Nebraska as of July 2026, with employment types broken down into 1% As Needed, 53% Full Time, 35% Part Time, 1% Temporary, 4% Contract, and 6% Nights. Highlights an 99% Physical, and 1% Remote job distribution.
Direct Marketing Data Analyst

Full-time

Medical, Dental, Life, Retirement

Re-posted 3 days ago


Job description

Physicians Mutual is seeking a Direct Marketing Data Analyst to support the data, systems and vendor relationships that drive our direct marketing efforts. In this role, you will analyze and manage large volumes of customer, policy, prospect and marketing data, ensuring accuracy, integrity and availability across multiple databases and platforms. You will collaborate with Marketing, Enterprise Technology and external data vendors to develop solutions, support business initiatives and optimize marketing performance.


  • Analyze, validate and maintain customer, policy, prospect and marketing data across internal and external systems.
  • Monitor data quality, troubleshoot issues and coordinate corrective actions to ensure data accuracy and reliability.
  • Manage data integrations, file transfers and database processes with internal teams and external vendors.
  • Develop and support reporting, querying and data analysis solutions that drive marketing decisions and business performance.
  • Partner with Marketing and Enterprise Technology teams to implement system enhancements, process improvements and new data solutions.
  • Serve as a subject matter expert on marketing data, databases and data management tools.
  • Manage relationships with third-party data vendors, ensuring service levels, data quality and operational effectiveness.
  • Lead or support projects involving data, systems, vendor implementations and process enhancements.
  • Provide technical guidance and training to marketing personnel on data usage, reporting tools and analytics resources.

  • Bachelor’s degree in Management Information Systems, Business, Marketing, Computer Science, Engineering, Finance or a related field required.
  • Experience working with large databases, data warehousing, data integration or business intelligence environments.
  • Strong knowledge of SQL and database technologies; experience with Oracle, DB2, Snowflake, Tableau or similar tools preferred.
  • Experience using ChatGPT and other AI productivity tools 
  • Experience managing data movement, validation and quality assurance processes.
  • Strong analytical, problem-solving and project management skills.
  • Ability to work effectively with technical teams, business stakeholders and external vendors.
  • Excellent communication skills and attention to detail.
  • Experience supporting marketing data operations or direct marketing initiatives is preferred.
  • Knowledge of insurance products, practices or financial reporting is a plus.

Health. Life. Retirement. The Physicians Mutual family empowers people from all walks of life to enjoy the financial security they deserve. That’s what Insurance for all of us® is about.

The Physicians Mutual family includes Physicians Mutual Insurance Company, Physicians Life Insurance Company and Physicians Select Insurance Company. Physicians Mutual offers reliable dental and supplemental health insurance, and pet insurance. Physicians Life provides important life insurance, Medicare Supplement insurance and coverage for funeral pre-planning. Physicians Select Insurance Company additionally offers exclusive Medicare Supplement insurance.

Since our start in 1902, our dedication to delivering on our promise has helped make us one of the nation’s leading health and life insurance providers. In fact, we are rated in the top 1% of insurance companies. We consistently maintain some of the highest financial strength ratings in the nation from independent insurance analysts, including A.M. Best Company and Weiss Ratings, ensuring we’ll be there for our policyowners and our employees far into the future.

But the achievement we’re most proud of? We have a 95% customer satisfaction rating — a true sign of a company dedicated to embodying its vision.