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R Sql Data Jobs (NOW HIRING)

Futran Tech Solutions Pvt. Ltd.

Data Engineer

$117K - $140K/yr

Python and R, SQL • Experience with big data tools: Bigquery, Pubsub, MapReduce • Experience with data visualization tools: Tableau, DataStudio, d3.js, ggplot. Optional • Experience using ...

Think Tank, Inc.

Senior Data Analyst

Silver Spring, MD · On-site

$89K - $112K/yr

Proficiency with analysis tools such as BigQuery, R, SQL, and Excel . * Experience with data visualization software (e.g., Looker, R Studio). * Professional Skills: * Strong written and verbal ...

Sonsoft Inc

Data Wrangler

New York, NY

... Python, R & SQL, use the above languages\tools & create automated process for data gathering ... cleansing & improve efficiency and accuracy of data collection, entry & verification. Ensure that ...

Sonsoft Inc

Data Wrangler

New York, NY

... Python, R & SQL, use the above languages\tools & create automated process for data gathering ... cleansing & improve efficiency and accuracy of data collection, entry & verification. Ensure that ...

Forhyre

Data Scientist

New York, NY · On-site

Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) * Analytical mind and ...

Sonsoft Inc

Data Wrangler

New York, NY · On-site

... Python, R & SQL, use the above languages\tools & create automated process for data gathering ... cleansing & improve efficiency and accuracy of data collection, entry & verification. Ensure that ...

Forhyre

Data Scientist

New York, NY

Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) * Analytical mind and ...

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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.

Senior Data Scientist - AI & Predictive Modeling

GARGI TECHNOLOGIES INC

Texas City, TX • On-site

Other

Posted 10 days ago

Job description

Senior Data Scientist – AI & Predictive ModelingJob Overview

We are seeking a Senior Data Scientist with expertise in AI, predictive analytics, and advanced statistical modeling. The candidate will lead data-driven initiatives and help optimize business performance using intelligent solutions.

Responsibilities
  • Design and implement advanced ML and AI models
  • Lead data science projects from concept to deployment
  • Work closely with cross-functional teams
  • Create forecasting and recommendation systems
  • Present findings to leadership teams
  • Mentor junior data scientists
Required Skills
  • Advanced knowledge of Python, R, SQL
  • Expertise in Machine Learning, NLP, and Deep Learning
  • Experience with Spark, Hadoop, or Big Data technologies
  • Strong understanding of data visualization tools
  • Experience in model deployment and MLOps
Nice to Have
  • Experience in Generative AI or LLMs
  • Experience with Docker and Kubernetes

Apply