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Entry Level Data Analyst R Programming Jobs (NOW HIRING)

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.

Proficiency in data analysis tools such as Excel, SQL, and data visualisation software. * Strong ... Experience with programming languages such as Python or R. * Knowledge of machine learning ...

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)

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.

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.

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.

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 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.

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

... 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 ...

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:

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 ...

The Data Analyst I performs entry-level data analysis and data research work. Work involves conducting detailed analysis of, and extensive research on, data and providing results. Works under close ...

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 ...

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Entry Level Data Analyst R Programming information

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How much do entry level data analyst r programming jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for entry level data analyst r programming in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

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 skills and qualifications are needed to thrive as an entry level data analyst r programming?

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 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.

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What cities are hiring for Entry Level Data Analyst R Programming jobs?

Cities with the most Entry Level 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 Entry Level Data Analyst R Programming jobs?

States with the most job openings for Entry Level Data Analyst R Programming jobs include:

Infographic showing various Entry Level Data Analyst R Programming job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Full-time

Posted 9 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.