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Entry Level Data Analyst R Programming Jobs in Charlotte, NC

Jobsultant Solutions

Data Analyst

Charlotte, NC

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.

CapTech Consulting

Data Analyst

Charlotte, NC

Collaborate with other data workstreams (Data Engineers, Data Architects, Data Scientists, Product ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

CapTech Consulting

Data Analyst

Charlotte, NC · On-site

Collaborate with other data workstreams (Data Engineers, Data Architects, Data Scientists, Product ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

Themesoft, Inc.

Data Analyst

Charlotte, NC · On-site

Partner with technology developers to: * Refine backlog items * Ensure correct interpretation of ... r@themesoft.com| [Themesoft.com]Themesoft Inc | Skills: Power BI,Tableau

GDIT

Data Analyst

Concord, NC · Hybrid

$76K - $103K/yr

Data Science and Data Engineering Job Qualifications: Skills: Collaboration, Data Analytics, Data Science, Exploration, Statistical Analysis Certifications: None Experience: 2 + years of related ...

360 IT Professionals

Data analyst

Charlotte, NC

We use Objective C and Swift programming languages to create native applications for iPhone ... analytics with a wide and deep understanding of Healthcare data; with experience in clinical ...

RVO Health

Data Analyst, People Analytics

Charlotte, NC · On-site

$75K - $95K/yr

AT A GLANCE RVO Health is looking to add a Data Analyst to our People Analytics team. This is a mid ... Fluency coding in one analytical programming knowledge (e.g., R or Python) and SQL is required

RVO Health

Data Analyst, People Analytics

Charlotte, NC · Hybrid

$75K - $95K/yr

AT A GLANCE RVO Health is looking to add a Data Analyst to our People Analytics team. This is a mid ... Fluency coding in one analytical programming knowledge (e.g., R or Python) and SQL is required

Tata Consultancy Service Limited

Analyst

Charlotte, NC · On-site

$140K - $150K/yr

Collect, clean, and organize massive, messy datasets so they are accurate for analysis. Model ... data to business leaders. Essential Skills and Tools Programming Languages: Python, R, and SQL ...

Varsity Tutors

Data Science Tutor

Matthews, NC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Charlotte, NC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Entry Level Data Analyst R Programming information

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$12

$32

$60

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

As of Aug 31, 2026, the average hourly pay for entry level data analyst r programming in Charlotte, NC is $32.16, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $35.91 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.

What are popular job titles related to Entry Level Data Analyst R Programming jobs in Charlotte, NC?

For Entry Level Data Analyst R Programming jobs in Charlotte, NC, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst R Programming jobs in Charlotte, NC look for?

The top searched job categories for Entry Level Data Analyst R Programming jobs in Charlotte, NC are:

What cities near Charlotte, NC are hiring for Entry Level Data Analyst R Programming jobs?

Cities near Charlotte, NC with the most Entry Level Data Analyst R Programming job openings:

Entry Level Data Analyst R Programming jobs near you

Data Analyst

Charlotte, NC

Jobsultant Solutions
See more jobs at Jobsultant Solutionsexternal

Full-time

Re-posted 25 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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