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Afternoon Data Analyst R Programming Jobs in Omaha, NE

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 ...

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

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Afternoon Data Analyst R Programming information

See Omaha, NE salary details

$32.5K

$79.1K

$130.1K

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

As of Jul 15, 2026, the average yearly pay for afternoon data analyst r programming in Omaha, NE is $79,055.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,800.00 and $92,800.00 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 are popular job titles related to Afternoon Data Analyst R Programming jobs in Omaha, NE? For Afternoon Data Analyst R Programming jobs in Omaha, NE, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Omaha, NE look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Omaha, NE are:
What cities near Omaha, NE are hiring for Afternoon Data Analyst R Programming jobs? Cities near Omaha, NE with the most Afternoon Data Analyst R Programming job openings:
Senior Database, Programming, & Visualization Analyst

Senior Database, Programming, & Visualization Analyst

Qualis LLC

NE • On-site

$81K - $102K/yr

Full-time

Re-posted 4 days ago


Job description

Qualis LLC is seeking a full-time Senior Database, Programming, and Visualization Analyst to support USSTRATCOM operational, training, exercise, analytics, and data management activities. This position requires extensive experience in database design and development, application architecture, programming, web development, data analytics, and visualization activities. The Senior Database, Programming, and Visualization Analyst shall support development and maintenance of databases, applications, analytics tools, automation capabilities, and data visualization products supporting operational and mission requirements. The position requires experience supporting Artificial Intelligence/Machine Learning (AI/ML) data operations, Agile development activities, and database administration functions. This position is contingent upon contract award.


EDUCATION AND EXPERIENCE

At a minimum, the ideal candidate will meet the following experience requirements (candidates that exceed these requirements are strongly preferred):

  • Minimum 10 years of experience in database design and development including tables, indexes, triggers, and stored procedures.
  • Minimum 3 years of application architecture experience and Windows/Internet Information Services (IIS) server administration experience.
  • Minimum 7 years of development experience in JavaScript, C#, Python, Visual Basic for Applications (VBA), and other programming languages as required.
  • Experience with front-end and back-end web development.
  • Experience developing applications and automation tools using Microsoft Office Suite including Excel, Word, and Access.
  • Minimum 3 years of database administrator experience.
  • Minimum 3 years of experience leading or contributing to Agile teams including sprint planning, backlog grooming, and retrospectives.
  • Proven experience designing and managing databases supporting Artificial Intelligence/Machine Learning (AI/ML) operations including data preparation, data quality management, analytics support, and scalable Machine Learning deployment pipelines.
  • Bachelor’s degree or higher in data science, computer science, data analytics, business analytics, management information systems, statistics, applied mathematics, applied physics, or equivalent field required.


SUPERVISION: This position may coordinate with Government personnel, database administrators, software developers, analysts, Agile development teams, and operational stakeholders in support of mission and operational activities.

Additional Qualifications:

  • Knowledge of database development and administration processes
  • Knowledge of programming, scripting, and web development technologies
  • Knowledge of Agile software development methodologies
  • Ability to work effectively in a team environment
  • Strong organizational and communication skills


SYSTEM KNOWLEDGE: Microsoft Office Suite and standard operational planning and collaboration tools. JavaScript, C#, Python, Visual Basic for Applications (VBA), Windows Server, Internet Information Services (IIS), database management systems, web development tools, analytics platforms, and standard collaboration tools.


LANGUAGE SKILLS: Ability to read, analyze, and interpret operational guidance, exercise planning documents, operational orders, and Joint doctrine publications. Ability to write reports, briefing materials, and operational support documentation in support of exercise planning and execution activities.


MATHEMATICAL SKILLS: Ability to apply analytical and operational reasoning techniques in support of exercise planning and operational coordination activities.


REASONING ABILITY: Ability to analyze operational requirements, support Joint exercise planning activities, and coordinate with multiple organizations in support of training objectives and operational requirements.


TRAVEL REQUIREMENTS: Domestic temporary duty (TDY) travel may be required in support of planning conferences, meetings, and exercise activities.


SECURITY REQUIREMENTS

  • Final Top Secret/Sensitive Compartmented Information (TS/SCI) clearance required
  • Must comply with all USSTRATCOM and Department of Defense security requirements
  • Must be able to work within classified operational environments and Sensitive Compartmented Information Facilities (SCIFs).


PHYSICAL DEMANDS

The employee may be required to work extended hours during exercises, crisis response operations, and short-notice production deadlines. Specific vision abilities required include close vision for detailed intelligence analysis. Must be able to lift up to 50 lbs periodically.


WORK ENVIRONMENT: Work is performed in secure government facilities supporting USSTRATCOM missions, exercises, and training activities. Position may require support during exercise execution periods and operational planning events.


Benefits

Qualis LLC is committed to hiring and retaining a diverse and talented workforce who can contribute to the mission and vision of the Company. Our employees are our greatest asset and we promote a positive work environment, teamwork, professional growth, innovation, community involvement, flexible scheduling and a family-friendly work environment.


Equal Opportunity Employer/M/F/Vet/Disabled and a Participant in E-Verify