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R Sql Data Jobs (NOW HIRING)

VTG

Data Scientist

Chantilly, VA

Familiarity with Python, R, SQL, or similar analytical tools * Familiarity with tools such as Jupyter, Tableau, Power BI, or similar * Basic understanding of statistics and data visualization

4P Consulting Inc.

Data Analyst 2

Birmingham, AL · On-site

Birmingham, AL 35203(Onsite) Contract :: 6-Months Skills and Responsibilities · 3-5 Years Proficient in using tools like Python, R, SQL, and data visualization libraries (e.g., Matplotlib, Seaborn ...

Seneca Holdings

Senior Business Data Analyst

Rockville, MD · On-site

$87K - $110K/yr

... R, SQL, UiPath, or bots) to streamline manual financial reconciliation processes • Experience identifying financial trends, anomalies, and areas for process efficiency within large federal datasets ...

Altair Data Resources, Inc

Data Analyst

Brentwood, TN · On-site

Using our analytics and visualization tools, you will gain experience working with industry-leading software applications such as Alteryx, Python, Power BI, R and SQL. Data Analyst Job Duties Data ...

Amdex Corporation

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

Develop and maintain validation and transformation scripts using Python, R, SQL, and related tools ... data suppression Ability to obtain and maintain a Government suitability clearance Working ...

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All JobsR Sql Data Jobs

R Sql Data information

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$21.5K

$87.6K

$127K

How much do r sql data jobs pay per year?

As of Jun 9, 2026, the average yearly pay for r sql data in the United States is $87,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an R SQL Data Analyst, and why are they important?

To excel as an R SQL Data Analyst, you need a solid background in statistics, data manipulation, and database management, typically supported by a degree in a quantitative field. Proficiency in R for statistical analysis, SQL for querying databases, and familiarity with tools like RStudio, Tableau, or Power BI are commonly expected. Strong analytical thinking, attention to detail, and effective communication skills help analysts interpret data and present actionable insights. These abilities are crucial for transforming raw data into meaningful information that drives business decisions.

How do professionals in R SQL Data roles typically collaborate with data scientists and business analysts?

In R SQL Data roles, collaboration with data scientists and business analysts is frequent and essential. Professionals are responsible for preparing, cleaning, and querying large datasets using SQL, and often use R to perform statistical analysis or generate data visualizations. They work closely with data scientists to ensure that data pipelines are robust and that the correct data is available for modeling, while also partnering with business analysts to translate business requirements into actionable queries or reports. Effective communication and a collaborative approach are key, as these roles often participate in cross-functional meetings and joint problem-solving sessions.

What is the difference between R Sql Data vs Data Analyst?

AspectR Sql DataData Analyst
Required CredentialsKnowledge of R, SQL, and data manipulationDegree in statistics, data science, or related field; SQL and data visualization skills
Work EnvironmentData analysis, database management, statistical modelingData interpretation, reporting, visualization, and business insights
Industry UsageData science, analytics, research projectsBusiness intelligence, marketing, finance, healthcare

R Sql Data professionals focus on data extraction, cleaning, and analysis using R and SQL, often working on statistical modeling. Data Analysts interpret data to generate reports and insights for decision-making. While both roles require SQL skills, R Sql Data emphasizes programming and data manipulation, whereas Data Analysts focus more on visualization and business context.

What are R SQL Data professionals?

R SQL Data professionals are experts who work with both the R programming language and SQL (Structured Query Language) to analyze, manipulate, and manage data. They use R for statistical analysis and data visualization, while SQL is used to query and manage databases. These professionals often bridge the gap between data storage and data analysis, making them valuable in roles such as data analyst, data scientist, or business intelligence specialist. Their skillset allows organizations to extract meaningful insights from large datasets efficiently.
Infographic showing various R Sql Data job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 93% Full Time, 2% Part Time, and 3% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $87,573 per year, or $42.1 per hour.
Data Scientist

Data Scientist

VTG

Chantilly, VA

Full-time

Posted yesterday

Job description

Overview

VTG is looking for a Data Scientist in Chantilly, VA.  (Note: Contingent upon program award).

Data Scientist I supports government and program teams by assisting with data analysis, visualization, and reporting to inform mission, operational, and business decisions under senior supervision.

Data Scientist II independently performs data analysis and modeling to support mission outcomes, providing actionable insights to government and program leadership.

Data Scientist III independently performs data analysis and modeling to support mission outcomes, providing actionable insights to government and program leadership.


What will you do?

Data Scientist I

  • Support collection, cleaning, and preparation of structured and semistructured data
  • Assist with exploratory data analysis and basic statistical assessments
  • Develop simple dashboards, visualizations, and analytical summaries
  • Support documentation of data sources, assumptions, and methodologies
  • Participate in analytic working groups and technical discussions
  • Assist with maintaining data pipelines, scripts, and analysis artifacts
  • Support coordination between data engineers, analysts, and mission stakeholders

Data Scientist II

  • Analyze large and complex datasets to identify trends, patterns, and insights

  • Develop and apply statistical models or machine learning techniques as appropriate

  • Design and maintain dashboards, visualizations, and analytic products

  • Translate mission or business questions into analytic approaches and outputs

  • Validate data quality, assumptions, and model results

  • Present findings and recommendations to technical and nontechnical stakeholders

  • Support integration of analytics into operational or decisionsupport workflows

Data Scientist III

  • Analyze large and complex datasets to identify trends, patterns, and insights
  • Develop and apply statistical models or machine learning techniques as appropriate
  • Design and maintain dashboards, visualizations, and analytic products
  • Translate mission or business questions into analytic approaches and outputs
  • Validate data quality, assumptions, and model results
  • Present findings and recommendations to technical and nontechnical stakeholders
  • Support integration of analytics into operational or decisionsupport workflows

Do you have what it takes?
  • TS/SCI with Poly Required

Data Scientist I

  • 1-4 years of experience supporting data analysis or analytics projects
  • Familiarity with Python, R, SQL, or similar analytical tools
  • Familiarity with tools such as Jupyter, Tableau, Power BI, or similar
  • Basic understanding of statistics and data visualization
  • Strong analytical and communication skills
  • Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related field
  • Preferred Qualifications: Experience supporting federal, DoD, or IC programs, Exposure to mission, operational, or enterprise data sets, Familiarity with tools such as Jupyter, Tableau, Power BI, or similar

Data Scientist II

  • 5-9 years of experience in data analytics or data science roles
  • Strong proficiency with Python or R and SQL
  • Experience with statistical analysis, modeling, or machine learning techniques
  • Strong written and verbal communication skills
  • Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related field
  • Preferred Qualifications: Experience supporting IC, DoD, or DOJ mission programs, Experience working with operational, intelligence, or enterprise data, Familiarity with cloudbased analytics environments, Experience with Agile delivery environments

Data Scientist III

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field
  • 10+ years of experience in data analytics or data science roles
  • Strong proficiency with Python or R and SQL
  • Experience with statistical analysis, modeling, or machine learning techniques
  • Strong written and verbal communication skills
  • Preferred Qualifications: Experience supporting IC, DoD, or DOJ mission programs, Experience working with operational, intelligence, or enterprise data, Familiarity with cloudbased analytics environments, Experience with Agile delivery environments
Qualifications:
  • TS/SCI with Poly Required

Data Scientist I

  • 1-4 years of experience supporting data analysis or analytics projects
  • Familiarity with Python, R, SQL, or similar analytical tools
  • Familiarity with tools such as Jupyter, Tableau, Power BI, or similar
  • Basic understanding of statistics and data visualization
  • Strong analytical and communication skills
  • Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related field
  • Preferred Qualifications: Experience supporting federal, DoD, or IC programs, Exposure to mission, operational, or enterprise data sets, Familiarity with tools such as Jupyter, Tableau, Power BI, or similar

Data Scientist II

  • 5-9 years of experience in data analytics or data science roles
  • Strong proficiency with Python or R and SQL
  • Experience with statistical analysis, modeling, or machine learning techniques
  • Strong written and verbal communication skills
  • Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related field
  • Preferred Qualifications: Experience supporting IC, DoD, or DOJ mission programs, Experience working with operational, intelligence, or enterprise data, Familiarity with cloudbased analytics environments, Experience with Agile delivery environments

Data Scientist III

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field
  • 10+ years of experience in data analytics or data science roles
  • Strong proficiency with Python or R and SQL
  • Experience with statistical analysis, modeling, or machine learning techniques
  • Strong written and verbal communication skills
  • Preferred Qualifications: Experience supporting IC, DoD, or DOJ mission programs, Experience working with operational, intelligence, or enterprise data, Familiarity with cloudbased analytics environments, Experience with Agile delivery environments
Education:UNAVAILABLEEmployment Type: FULL_TIME

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