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Afternoon Data Analyst R Programming Jobs in Gretna, NE

Varsity Tutors

Data Science Tutor

Lincoln, NE · Remote

$18 - $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 ...

Varsity Tutors

Data Science Tutor

Omaha, NE · Remote

$18 - $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 ...

Isys Technologies

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 ...

Isys Technologies

Journeyman Data Scientist

Omaha, NE

$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 ...

Amentum

Data Scientist - Expert

Omaha, NE · On-site

... 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 ...

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Afternoon Data Analyst R Programming information

See Gretna, NE salary details

$31.7K

$77K

$126.7K

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

As of Jul 19, 2026, the average yearly pay for afternoon data analyst r programming in Gretna, NE is $76,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 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, 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Gretna, NE look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Gretna, NE are:
What cities near Gretna, NE are hiring for Afternoon Data Analyst R Programming jobs? Cities near Gretna, NE 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 Gretna, NE as of July 2026, with employment types broken down into 1% As Needed, 55% Full Time, 36% Part Time, 1% Temporary, 2% Contract, and 5% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $76,976 per year, or $37 per hour.
Medical Economist/Health Data Analyst

Medical Economist/Health Data Analyst

Blue Cross and Blue Shield of Nebraska

Omaha, NE • On-site

Full-time

Posted 20 days ago

Blue Cross & Blue Shield Of Nebraska rating

7.7

Company rating: 7.7 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

183rd of 281 rated insurance

Job description

At Blue Cross and Blue Shield of Nebraska, we are a mission-driven organization dedicated to championing the health and well-being of our members and the communities we serve.
Our team is the power behind that promise. And, as the industry rapidly evolves and we seek ways to optimize business processes and customer experiences, there's no greater time for forward-thinking professionals like you to join us in delivering on it! As a member of Team Blue, you'll find purpose, opportunities and the support you need to build a meaningful career and make a powerful impact in our community.
The ideal candidate will live within driving distance of the Omaha, Nebraska office. This position allows remote flexibility but will have 2-3 days per week in the office.
The Medical Economist (Health Data Analyst III) serves on a highly collaborative Data Analytics team delivering health data analytics and informatics for groups, providers, members, and leadership. As a member of the team, you will act as an analytical subject matter expert in understanding and interpreting the business impacts of healthcare data. Your focus will be on extracting, preparing, analyzing, and interpreting data to provide actionable insights for internal and external stakeholders, while mentoring junior analysts. You will also lead economic modeling and cost-effectiveness analysis to support strategic decision-making and value-based care initiatives.
What You'll Do:
Healthcare Economics and Advanced Data Analytics
  • Provide analytic solutions for enterprise stakeholders via reporting, research, predictive modeling, and BI dashboard development.
  • Develop and maintain models for utilization trends
  • Partner with stakeholders to analyze trends in employer group reporting, provider payment methodologies, and care management analytics.
  • Gather business requirements, extract and prepare data independently, and deliver high-quality analysis for decision support.

Strategic Consulting & Collaboration
  • Serve as a business consultant to multiple areas, leveraging deep understanding of data and operations.
  • Actively participate in brainstorming sessions, design reviews, and quality reviews to ensure best practices in analytics and data strategy.
  • Provide strategic input on data architecture and analytic standards.
  • Lead knowledge-sharing activities and contribute to the Data Integration Community of Practice.
  • Present analyses to internal and external stakeholders, translating complex data into clear, actionable insights.
  • Tell a compelling story with data to influence strategic decisions.

To be considered for this position, you must have:
  • Bachelor's degree in Economics, Statistics, Mathematics, Health Care Management, or related field (Master's preferred).5+ years in healthcare analytics, medical economics, or actuarial analysis.
  • Data Access & Integration: Advanced SQL, ETL/ELT pipelines (Azure Data Factory, dbt), PySpark/Spark SQL.
  • Cloud & Platforms: Azure Synapse, Databricks, SQL Server; Git for version control.
  • Analytics & Econometrics: Python, R, cost-effectiveness analysis, risk adjustment, forecasting.
  • BI & Visualization: Power BI (DAX, Power Query), Databricks Dashboards, dashboard design, KPI development.
  • Data Governance: Data dictionaries, lineage, HIPAA compliance, quality checks.
  • Healthcare Domain Knowledge: Claims data, provider reimbursement models, value-based care, HEDIS/STARS metrics.
  • Mastery of Health Insurance Operations knowledge including claims, enrollment, payment mechanisms, care management, employer reporting and the ability to stay current on healthcare industry knowledge.
  • Successful experience working in a cross-functional environment.
  • Experience effectively communicating with stakeholder groups.

**BCBSNE is unable to sponsor or take over sponsorship of an employment visa at this time**
#LI-DNI
Learn more about what makes BCBSNE such an exceptional place to work by visiting NebraskaBlue.com/Careers.
We strongly believe that diversity of experience, perspective and background will lead to a better workplace for our employees and a better product for our customers and members.

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