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Afternoon Data Analyst R Programming Jobs (NOW HIRING)

Jobcertify

Data Analyst

Austin, TX

Data Scientist under general supervision will perform data engineering, data modeling and model ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

Kiva Design

Data Analyst

Cincinnati, OH · On-site

Collaborate with subject matter experts, internal/external stakeholders, software programmers, and ... Significant experience with data analysis software such as Python, R, or Matlab. * Experience ...

Kiva Design

Data Analyst

Cincinnati, OH

Collaborate with subject matter experts, internal/external stakeholders, software programmers, and ... Significant experience with data analysis software such as Python, R, or Matlab. * Experience ...

Orionyx Enginnering

Data Analyst

Dallas, TX · Remote

$23.50 - $30.50/hr

... within the engineering or construction industry. * Proven experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis software (e.g., R, Python, or similar)

Jobsultant Solutions

Data Analyst

Atlanta, GA

Data Scientist under general supervision will perform data engineering, data modeling and model ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

KGS Technology Group Inc

Data Analyst

Alpharetta, GA · On-site +1

... SQL, etc), programming (XML, Javascript, or ETL frameworks) • Knowledge of statistics and ... SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine ...

Jobsultant Solutions

Data Analyst

Buffalo, NY

Data Scientist under general supervision will perform data engineering, data modeling and model ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

360 IT Professionals

DATA ANALYST

Dallas, TX

... programming concepts Experience with statistical tools and concepts (R, SPSS, SAS) Preferred skill set: Experience with Oracle/Exadata, Teradata, AWS Redshift/Hadoop, Splice open source data ...

Sarian, Inc.

Data Analyst

Pittsburgh, PA · On-site

Data Analyst Location: Pittsburgh, PA Onsite position Fulltime Position *****NO C2C**** JD * Data ... Programming Languages: Familiarity with languages like Python or R. * Data Cleaning and Preparation:

Corework Staffing

Data Analyst

Austin, TX

Working knowledge of programming languages like Python or R for data analysis, automation, and statistical modeling * Experience handling and analyzing large, complex datasets, with an understanding ...

Lorven Technologies

Data Analyst

Omaha, NE · On-site

Collaborate closely with engineering teams on data sourcing, transformations, pipeline optimization ... Proficiency in data analysis, data wrangling, and automation using Python and/or R. * Experience ...

Atria Group LLC

BI Data Analyst

Addison, TX

R Programming SQL Data Analysis Specific Accountabilities/Essential Functions of Position Conceptualize, design and support the implementation of analytics and reports utilizing a variety of data ...

CodersData LLC

Data Analyst

Cheyenne, WY · On-site

Collaborate with data engineers to optimize the data platform to product the analysis results in ... R. * Demonstrated ability to effectively engage, collaborate, and consult with stakeholders ...

Careerswift

Data Analyst

San Francisco, CA · Remote

Experience with Python or R. * Familiarity with data warehouses and analytics engineering. * Knowledge of experimentation, product analytics or forecasting. * Experience in tech or consumer platforms.

CodersData, LLC

Data Analyst

Cheyenne, WY · On-site

Collaborate with data engineers to optimize the data platform to product the analysis results in ... R. * Demonstrated ability to effectively engage, collaborate, and consult with stakeholders ...

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Afternoon Data Analyst R Programming information

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$34K

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

As of Jul 31, 2026, the average yearly pay for afternoon data analyst r programming in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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.
More about Afternoon Data Analyst R Programming jobs
What cities are hiring for Afternoon Data Analyst R Programming jobs? Cities with the most Afternoon Data Analyst R Programming job openings:
What are the most commonly searched types of Data Analyst R Programming jobs? The most popular types of Data Analyst R Programming jobs are:
What states have the most Afternoon Data Analyst R Programming jobs? States with the most job openings for Afternoon Data Analyst R Programming jobs include:
What job categories do people searching Afternoon Data Analyst R Programming jobs look for? The top searched job categories for Afternoon Data Analyst R Programming jobs are:
Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 53% Full Time, 37% Part Time, 1% Temporary, 1% Contract, and 7% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Jobcertify

Austin, TX

Full-time

Posted 13 days ago

Job description

We are looking for the right people people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the worlds largest providers of products and services to the global energy industry.

Job Description & Responsibilities:
Data Scientist under general supervision will perform data engineering, data modeling and model deployment.
Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights
Leverage common open-source Machine Learning/Deep Learning packages for identifying data patterns and/or building predictive models
Conduct statistical analysis to determine trends and significant data relationships
Keep up to date with latest Machine Learning and Artificial Intelligence advancements
Work with data engineers to design and construct data pipelines for reproducible analysis
Leverage cloud computing technologies like Microsoft Azure and distributed computing technologies like Apache Spark
Present results of analyses, including design of graphs, charts, tables, and other data visualizations

Qualifications:
Industry experience in predictive modeling, data science and analysis.
Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn and cloud computing platforms like Azure.
Experience handling terabyte size datasets, diving into data to discover hidden patterns and using data visualization tools.
Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.
Demonstrated teamwork, strong communication skills, and collaborative in complex engineering projects.
Completion of an undergraduate degree in STEM. Master's degree in STEM is preferred.

Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs.

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