ZipRecruiter

Log In

1

Afternoon Data Analyst R Programming Jobs in Nebraska

Sandhills Global, Inc.

Data Scientist

Lincoln, NE · On-site

Analyzing data that is collected in our current and future products and services, Develop ... collaborate with Software Developers to implement into our products and services. The Data ...

Leidos

Data Scientist

Omaha, NE

$107K - $195K/yr

Join Leidos as a Data Scientist and Help Drive Cutting-Edge Analytics Leidos is seeking a forward ... analytics and analytic methods using Python, R, or similar tools * Identify and ETL relevant ...

Leidos

Data Scientist

Omaha, NE · On-site

$107K - $195K/yr

Join Leidos as a Data Scientist and Help Drive Cutting-Edge Analytics Leidos is seeking a forward ... analytics and analytic methods using Python, R, or similar tools * Identify and ETL relevant ...

Son

Sr. Data Visualization Engineer

Lincoln, NE · On-site +1

$36.06/hr

Analyze, interpret, and compile large amounts of data to find impactful insights that drive ... programming experience can be substituted for education on a year for year basis. Preferred ...

Peraton

Data Scientist (SME)

Offutt Air Force Base, NE · On-site

$135K - $216K/yr

Proficiency in data analysis , machine learning , and statistical modeling . * Experience with programming languages such as Python , R , or SQL . * Familiarity with data visualization tools such as ...

Peraton

Data Scientist (SME)

Offutt Air Force Base, NE · On-site

$135K - $216K/yr

Proficiency in data analysis , machine learning , and statistical modeling . * Experience with programming languages such as Python , R , or SQL . * Familiarity with data visualization tools such as ...

Peraton

Data Scientist (SME)

Offutt Air Force Base, NE

$135K - $216K/yr

Proficiency in data analysis , machine learning , and statistical modeling . * Experience with programming languages such as Python , R , or SQL . * Familiarity with data visualization tools such as ...

WoodmenLife

Data and Analytics - AI Engineer II

Omaha, NE · On-site +1

$107K - $150K/yr

Data & Analytics Location: Home Office (Hybrid - Omaha, NE preferred) Role Overview How This Role ... Strong programming skills in Python, SQL, and C# * Experience with machine learning, deep learning ...

Mutual of Omaha

Sr Data Analytics Developer

Omaha, NE

$90K - $115K/yr

... programming languages. * Provides governance and leadership through data quality standards, process improvements, leveraging third-party data, and mentoring team members, while supporting analysis ...

Cordova

Data Engineer

Omaha, NE · On-site

$109K - $131K/yr

Cordova is seeking a versatile Senior Data Engineer & Application Developer on behalf of our client ... Analytical Background: A background in mathematical and statistical analysis is highly preferred to ...

HDR

Data Scientist I

Omaha, NE · On-site

... analysis (EDA) Transform raw data into usable attributes for machine learning modules through ... Proficiency with data engineering tools and languages such as SQL, Power Query, and Pandas

HDR

Data Scientist I

Omaha, NE · On-site

... analysis (EDA) Transform raw data into usable attributes for machine learning modules through ... Proficiency with data engineering tools and languages such as SQL, Power Query, and Pandas

next page

Showing results 1-20

All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Nebraska

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:
Afternoon Data Analyst R Programming jobs near you
Data Scientist

Data Scientist

Sandhills Global, Inc.

Lincoln, NE • On-site

Full-time

Posted 4 days ago

Sandhills Global rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

8th of 17 rated publishing

Job description

Data Scientist
Lincoln, Nebraska, USA
DESCRIPTION:
The Data Scientist may be responsible for any of the following tasks: Analyzing data that is collected in our current and future products and services, Develop statistical and machine learning models using state of the art Machine Learning and AI technologies, Visualize insights for business actions and collaborate with Software Developers to implement into our products and services. The Data Scientist would need to be able to apply the data analysis, models, and software to the markets our products are in for us to better serve our customers. The Data Scientist must have good communication and organization skills, along with a working knowledge of day-to-day operations and priorities within their department and the company. Assume other duties as assigned.
Now offering a 4.5-day workweek!
QUALIFICATIONS:
• Completed Post Secondary Degree in Data Science, Mathematics or Statistics preferred or any other quantitative discipline
• Strong proficiencies in Python or R, and various libraries/packages
• Ability to gain knowledge of the products and customers of the Auction and Heavy Equipment industries
• Technical understanding regarding data models, database design and development, data mining and segmentation techniques
• General understanding of Machine Learning and AI tools and frameworks
• Knowledge of statistics and experience using statistical packages for analyzing large datasets
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Experience with SQL, stored procedures, or APIs preferred
• Knowledge of Data Ops and Data Management tools, such as Docker, Jenkins and Spark.
• Adept at generating reports and presenting findings in an understandable manner
• Excellent oral and written communication skills
• Able to work independently and communicate within a team environment
• Results oriented
• Flexible and open to change
• Stable and progressive work history
• Professional appearance and demeanor
• Ability to travel by air and ground -- valid driver's license required
• Able to work with minimal supervision
• In Office Position. 4.5 day regular work week. Ability to commute daily to local office is required.

Apply