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R Sql Data Jobs (NOW HIRING)

Jobtailor

Data Scientist

Fort Belvoir, VA · On-site

$150 - $200/hr

Proficiency in data science tools, programming languages, and frameworks including Python, R, SQL, Palantir Ontology, and Palantir Data Marketplace * Experience building and integrating APIs into ...

New

Unissant

Data Scientist

Washington, DC · On-site

Use Python, R, SQL, Qlik, and other BI or visualization tools to analyze datasets, automate repeatable reporting, and support operational analytics.Collaborate with federal stakeholders, data owners ...

Atrosphere Technologies

Data Scientist

Manhattan, NY · On-site

$100 - $125/hr

Proficiency in Python, R, SQL, and data visualization tools * Experience with machine learning frameworks (TensorFlow, PyTorch) * Strong statistical and analytical skills * Experience with cloud data ...

Jobtailor

Senior Analyst, Pet Services

California, MO · On-site

$100 - $125/hr

Use Python, R, SQL, and modeling algorithms for data analysis * Design, develop, and present strategic recommendations addressing key business questions * Collaborate with Pet Services, eCommerce, ...

Ruri Software Technologies LLC

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Experience or knowledge of object-oriented/object function scripting languages: i.e.,Python, Java, Scala, R, SQL. * Experience or knowledge of data pipeline and workflow management tools: i.e., AWS ...

Sulekha.com New Media Pvt Ltd

Data Analyst

Easley, SC · On-site

$80 - $100/hr

SQL * Data Cleansing * R Programming My Qualifications and Preferences Job Type: Job Type: IT Job Work Authorization: Employment: Employment: Full Time, Hybrid Job Location: Qualification:

Kids for the Future

Data Analyst

Arlington, VA · On-site

$80 - $100/hr

Perform statistical analyses using approved Federal tools including Excel, Python, R, SQL, and ... Perform data validation and quality assurance activities. * Support development of dashboards and ...

Virtusa Corporation

R&D SME

Raritan, NJ · On-site

Proficiency in clinical data standards (SDTM, ADaM, ARS) and clinical programming (SAS, R, SQL). Manage solution design and operations for clinical data ecosystems (e.g., Veeva CDMS, eDC, clinical ...

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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 Sep 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 is an R SQL Data professional?

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.

How do R SQL Data professionals 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 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.

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 other helpful pages are available for R Sql Data?

Other pages related to R Sql Data:

Infographic showing various R Sql Data job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $87,573 per year, or $42.1 per hour.

Data Analyst

Mclean, VA • On-site

Securities Litigation and Consulting Group
11 - 50 employees
Learn more about Securities Litigation and Consulting Groupexternal

$100 - $125/hr

Other

Posted 21 days ago

Job description

Apply deep knowledge of statistical data science fundamentals and solid quantitative and analytical skills in working with complex data sets, conducting multiple regression analysis, and leveraging other statistical tools like R, SQL, Tableau, Excel, etc. Job Duties:
  • Process various clients' financial data sets using advanced statistical, quantitative, econometric techniques and create statistical financial data reports using analytical or scientific software, such as Python, MATLAB, R, VBA, Excel, and PowerPoint.
  • Improve efficiency of the financial models and valuation codes by using deep learning and optimization skills, such as parallel computing.
  • Research and acquire additional sources of financial data, including web scraping to help researchers and financial industry experts with insightful information.
  • Create visualizations, such as heatmaps or dashboards that are interactive, intuitive, and informative.
  • Apply mathematical or statistical techniques to assist testifying experts/consultants with the preparation of financial data summary reports or customized data queries.
  • Provide financial data support to our Financial Economists as they serve as expert witnesses before courts and arbitration panels during securities litigations and disputes.
Requirements:

Master's Degree in Data Science, Machine Learning, Statistics, or another quantitative science related field.

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