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Data Analyst R Programming Jobs (NOW HIRING)

This role will work closely with Research and Development, Engineering, Test Operations, and ... Experience analyzing large datasets using python, MATLAB, R, Julia, SQL, or other data analysis ...

... engineering roadmaps. * Advanced proficiency in SQL, with experience working on cloud data platforms (e.g., BigQuery, Redshift, Snowflake). * Strong experience with Python or R for data analysis ...

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.

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

Advanced experience with a statistical programming language (Python or R) for in-depth data analysis, statistical modeling, and visualization (using libraries such as Pandas, NumPy, Matplotlib ...

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)

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 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.

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

$85K - $95K/yr

General Data Engineering & Reporting Responsibilities:* Utilize Microsoft Excel and Power Query to ... R. part 471, Appendix A to Subpart A). #J-18808-Ljbffr

... 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 ...

General Data Engineering & Reporting Responsibilities: * Utilize Microsoft Excel and Power Query to ... R. part 471, Appendix A to Subpart A)

General Data Engineering & Reporting Responsibilities: * Utilize Microsoft Excel and Power Query to ... R. part 471, Appendix A to Subpart A)

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Data Analyst R Programming information

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$34K

$82.6K

$136K

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

As of Sep 12, 2026, the average yearly pay for 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 a data analyst r programming?

A Data Analyst specializing in R Programming uses the R language to analyze, visualize, and interpret data to support business decisions. This role involves cleaning and transforming data, performing statistical analysis, and creating data visualizations or reports. Analysts in this field often work with databases, machine learning models, and automation tasks using R packages like dplyr, ggplot2, and tidyr. They typically collaborate with stakeholders to extract insights and communicate findings in a meaningful way.

What are typical projects or daily tasks for a data analyst r programming?

As a Data Analyst with expertise in R Programming, your typical responsibilities include cleaning and preparing large datasets, conducting statistical analyses, and creating visualizations to support business decisions. You’ll frequently use R to automate data processing workflows, generate reports, and explore insights, collaborating closely with data scientists, business analysts, and department managers. Projects may range from market trend analysis and customer segmentation to developing predictive models for operational improvements. This role often involves both independent analytical work and active participation in cross-functional meetings to present findings and recommendations.

What are the key skills and qualifications needed to thrive in the data analyst r programming position, and why are they important?

To excel as a Data Analyst R Programming, you need strong analytical abilities, proficiency in statistical analysis, and hands-on experience with R, often supported by a degree in statistics, mathematics, or a related field. Familiarity with R libraries (such as dplyr, ggplot2), databases (like SQL), and data visualization tools, as well as potential certifications in data analysis or R programming, are highly beneficial. Exceptional problem-solving skills, attention to detail, and clear communication will set you apart when interpreting data and sharing insights with stakeholders. These capabilities are essential for turning raw data into actionable business insights, ensuring data-driven decisions, and fostering collaborative project success.

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Infographic showing various Data Analyst R Programming job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data analyst

Colonial Heights, VA

Full-time

Posted 19 days ago


Job description

Overview

We are seeking a talented and detail-oriented individual to join our team, working with data to drive insights and support decision-making processes. The ideal candidate will have a strong analytical background and a passion for translating complex data into actionable information.

Key Responsibilities

  • Collect, process, and analyse data to identify trends and patterns.
  • Create visualisations and reports to communicate findings to stakeholders.
  • Collaborate with various teams to understand their data needs and provide support.
  • Ensure data integrity and accuracy through regular audits and updates.
  • Utilise statistical techniques and tools to enhance data analysis.

Requirements

  • Proven experience in a data analysis role or similar position.
  • Strong proficiency in data analysis tools such as Excel, SQL, and data visualisation software.
  • Excellent problem-solving skills and attention to detail.
  • Ability to communicate complex data in a clear and concise manner.
  • Strong organisational and time management skills.

Nice to have

  • Experience in the roofing or construction industry.
  • Familiarity with programming languages such as Python or R.
  • Understanding of statistical methods and machine learning techniques.