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Entry Level Data Analyst R Programming Jobs in Charlotte, NC

Familiarity with Python (Pandas, NumPy) or R for statistical analysis. * Understanding of data modeling concepts and collaboration with Data Engineers. * Excellent communication and presentation ...

Whether you've earned a technical degree, gained hands-on programming experience, or worked ... Java, Python, C, C#, C , JavaScript, R, SQL, MATLAB, Mathematica, TypeScript, Shell scripting, Go ...

Sr. Data Analyst/ Data Engineer Requirement: * Make recommendations based on the data and information sourced * Ability to navigate through data discrepancies * Understands next steps in the data ...

Business Data Analyst

Charlotte, NC ยท Remote

$95K - $110K/yr

Experience in programming languages such as Python, R, and SQL. * Proficiency with data ... Familiarity with ETL tools and data analysis techniques. * Solid understanding of statistics and ...

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 ...

Conduct data analysis in support of a variety of analytic solutions * Capture, develop, and ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

Senior Data Analyst

Charlotte, NC ยท Remote

$115K - $145K/yr

Proactively identify and investigate data quality issues -- with root-cause evidence -- and partner with Analytics Engineers and Data Engineers to resolve upstream problems promptly. ยท Write high ...

Background in science, engineering, or data-focused disciplines * Technical troubleshooting skills Key Responsibilities & Duties: * Support analysis of process and activity capability, including ...

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 ...

Data Science Tutor

Matthews, NC ยท Remote

$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 ...

... is looking for a Data Analyst Intern to join our Federal Team for Summer 2026. The selected ... Familiarity with statistical or programming tools such as R or Python. * Experience working with ...

... is looking for a Data Analyst Intern to join our Federal Team for Summer 2026. The selected ... Familiarity with statistical or programming tools such as R or Python. * Experience working with ...

... R or Python, a range of data types of various structures and sizes, and an understanding of the differences and use cases for interpretable vs. black box models. Pay Transparency: A reasonable ...

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Entry Level Data Analyst R Programming information

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$32

$60

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

As of Jun 9, 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 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 Charlotte, NC? The most popular types of Data Analyst R Programming jobs in Charlotte, NC are:
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:
Infographic showing various Entry Level Data Analyst R Programming job openings in Charlotte, NC as of June 2026, with employment types broken down into 2% As Needed, 32% Full Time, 58% Part Time, and 8% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $66,893 per year, or $32.2 per hour.

Full-time

Posted 17 days ago


Job description

Overview:
Title: Data Analyst
Location: Mountain View, CA / Charlotte, NC
Experience: 6-8
Type: Contract
Responsibilities
  • Analyze complex datasets delivered through Databricks/Spark pipelines to extract actionable business insights.
  • Write efficient SQL queries to retrieve, manipulate, and validate data across large relational and distributed systems.
  • Develop and maintain dashboards, reports, and visualizations using Power BI, Tableau, or similar tools to communicate findings.
  • Collaborate with Data Engineers to ensure data quality, consistency, and accuracy in data pipelines.
  • Work with business teams and data scientists to translate requirements into data-driven solutions.
  • Perform ad-hoc analysis, data validation, and statistical exploration to support decision-making.
  • Document data sources, definitions, and business logic for transparency and reusability.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Statistics, or related field.
  • 2-3 years of experience as a Data Analyst (or similar role).
  • Strong proficiency in SQL (complex queries, joins, aggregations, window functions).
  • Experience with data visualization tools (Tableau, Power BI, Looker, etc.).
  • Strong analytical skills and ability to work with large datasets.
  • Familiarity with Python (Pandas, NumPy) or R for statistical analysis.
  • Understanding of data modeling concepts and collaboration with Data Engineers.
  • Excellent communication and presentation skills for technical and non-technical stakeholders.
Preferred Qualifications
  • Exposure to cloud platforms (AWS, Azure, GCP) for querying and analysis.
  • Basic familiarity with Databricks/Spark for data exploration (engineers handle heavy lifting).
  • Knowledge of statistics and A/B testing for product or process improvements.
  • Experience with GitHub or version control systems for collaborative workflows.