2

Entry Level Data Analyst R Programming Jobs in Georgia

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.

... 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 ...

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

NACI Data Engineer & Analyst, Part-time with Full Time Potential AMDEX.ai The Art of Data Science ... Develop and maintain validation and transformation scripts using Python, R, SQL, and related tools

Proven project experience with programming languages such as SQL, Python, and R for data manipulation and analysis * Proven project experience with data analysis and visualization tools such as ...

Proven project experience with programming languages such as SQL, Python, and R for data manipulation and analysis * Proven project experience with data analysis and visualization tools such as ...

Proven project experience with programming languages such as SQL, Python, and R for data manipulation and analysis * Proven project experience with data analysis and visualization tools such as ...

Proven project experience with programming languages such as SQL, Python, and R for data manipulation and analysis * Proven project experience with data analysis and visualization tools such as ...

Proven project experience with programming languages such as SQL, Python, and R for data manipulation and analysis * Proven project experience with data analysis and visualization tools such as ...

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight. * Conduct both basic and complex statistical ...

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight. * Conduct both basic and complex statistical ...

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight. * Conduct both basic and complex statistical ...

I have an opportunity for a "Data Analyst" - ( Alpharetta, GA - Hybrid) and I am looking for a ... Experience in Statistical techniques (R, hypothesis testing). Best Regards, David Miller | PH: 224 ...

... Math, Engineering, Economics or related field; Advanced degree preferred Proficient with SQL ... Python or R strongly preferred Hands on experience with BI tools; Tableau, power BI etc. Excellent ...

A Data Analyst leverages technical abilities to synthesize complex analytical tasks into easily ... programming language (e.g. VBA, Python, R, SAS, .NET, C++, Java, etc.) * Experience building ...

The Analyst will use existing data elements to create meaningful metrics, and independently engage ... least one programming language (e.g. R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS: Bachelor ...

next page

Showing results 1-20

Entry Level Data Analyst R Programming information

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What is an Entry Level Data Analyst (R Programming)?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst specializing in R Programming, and why are they important?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry-level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.
What are the most commonly searched types of Data Analyst R Programming jobs in Georgia? The most popular types of Data Analyst R Programming jobs in Georgia are:
What are popular job titles related to Entry Level Data Analyst R Programming jobs in Georgia? For Entry Level Data Analyst R Programming jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst R Programming jobs in Georgia look for? The top searched job categories for Entry Level Data Analyst R Programming jobs in Georgia are:
What cities in Georgia are hiring for Entry Level Data Analyst R Programming jobs? Cities in Georgia with the most Entry Level Data Analyst R Programming job openings:
Infographic showing various Entry Level Data Analyst R Programming job openings in Georgia as of July 2026, with employment types broken down into 100% Contract. Highlights an 100% Remote job distribution.

Full-time

Posted 6 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.