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R Sql Data Jobs (NOW HIRING)

The role involves using tools like Python, R, and SQL for data analysis, as well as performing data integration and statistical analysis to derive insights from data. Responsibilities : โ€ข ...

SQL Analyst

Seattle, WA ยท On-site

Qualifications: -Ability to ingest and transform common data formats for tabular and geospatial ... R, or other language. -Experience working with datasets in JSON file format. -Familiarity with ...

Use Python, R, SQL , and visualization tools to identify trends, patterns, and insights. * Build reports, dashboards, charts, and visual presentations for business users. * Support data extraction ...

Utilize tools like R, SQL, and either Tableau or PowerBI to create data-driven solutions. * Apply modeling and statistical techniques to identify, analyze, and interpret patterns and trends.

Junior Data Scientist

Arlington, VA ยท On-site

$100K - $120K/yr

Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis, and reduce manual reporting effort. * Develop and maintain Tableau dashboards, visual reports, charts ...

Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis, and reduce manual reporting effort. * Develop and maintain Tableau dashboards, visual reports, charts ...

$250/hr

Our team applies data science and econometric techniques and intensely values each employee to take ... Familiarity with R, SQL, Python, or other scripting languages * Proficiency in Microsoft Excel

New

Our team applies data science and econometric techniques and intensely values each employee to take ... Familiarity with R, SQL, Python, or other scripting languages * Proficiency in Microsoft Excel

New

Data Engineer.

$117K - $140K/yr

Develop, optimize, and maintain scalable data pipelines and ETL processes to support ongoing data ... Python, R, SQL, Kafka * APIs.

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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 8, 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 Scientist with Python, R, SQL and Tableau

Austin, TX โ€ข On-site

Syntricate Technologies
IT Servicesย โ€ขย 51 - 200 employees

Full-time

Re-posted 27 days ago


Job description

Job Summary:
Syntricate Technologies is seeking a Data Scientist with expertise in Python, R, SQL, and Tableau. The role involves performing statistical analysis, data manipulation, and creating interactive visualizations while ensuring excellent communication skills are utilized throughout the process.
Responsibilities:
โ€ข Require a working knowledge of formal statistical analysis and causal modeling
โ€ข Use SQL to manipulate and model data
โ€ข Use Python or R perform statistical and causal modeling; create visualizations;
โ€ข Use Tableau to create interactive visualizations
โ€ข Require excellent communication skills
Qualifications:
Required:
โ€ข Candidates have been using Tableau, SQL, and Python on a weekly basis for the past 10-12 years.
โ€ข Excellent communication is essential.
โ€ข Require a working knowledge of formal statistical analysis and causal modeling.
โ€ข Use SQL to manipulate and model data.
โ€ข Use Python or R to perform statistical and causal modeling; create visualizations.
โ€ข Use Tableau to create interactive visualizations.
โ€ข Require excellent communication skills.
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.