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Full Time Data Analyst R Programming Jobs (NOW HIRING)

Data Analyst

New York, NY · On-site

$130K - $170K/yr

You'll join a team of experienced data scientists and analytics engineers, while partnering closely ... Use SQL as your primary tool, with Python or R in a notebook environment like Hex when helpful, to ...

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 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.

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 ...

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

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.

... or R). Should be able to make sense of data and analyze the information. Should be able to make ... Exposure to sentiment analysis, forecasting/predictive analysis. 2+ years of strong SQL programming ...

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.

... programming concepts Experience with statistical tools and concepts (R, SPSS, SAS) Preferred skill set: Experience with Oracle/Exadata, Teradata, AWS Redshift/Hadoop, Splice open source data ...

PR · On-site

$45K - $55K/yr

Job Type: Full-Time | Monday to Friday ???? www.worksimpli.com About WorkSimpli Software WorkSimpli ... Maintain and enhance data pipelines in collaboration with engineers when needed. * Ensure data ...

Working knowledge of programming languages like Python or R for data analysis, automation, and statistical modeling * Experience handling and analyzing large, complex datasets, with an understanding ...

New

Collaborate closely with engineering teams on data sourcing, transformations, pipeline optimization ... Proficiency in data analysis, data wrangling, and automation using Python and/or R. * Experience ...

Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or ... Employment Type: FULL_TIME

Collaborate with data engineers to optimize the data platform to product the analysis results in ... R. * Demonstrated ability to effectively engage, collaborate, and consult with stakeholders ...

Showing results 41-60

Full Time Data Analyst R Programming information

See salary details

$34K

$82.6K

$136K

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

As of Jul 30, 2026, the average yearly pay for full time 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 the difference between Full Time Data Analyst R Programming vs Data Scientist?

AspectFull Time Data Analyst R ProgrammingData Scientist
Required SkillsData analysis, R programming, SQL, ExcelData analysis, R/Python, machine learning, statistics
Work EnvironmentBusiness, finance, healthcare, corporate settingsResearch, tech companies, startups, academia
CertificationsData analysis, R certifications, SQL certificationsData science, machine learning, Python/R certifications

Full Time Data Analysts R Programming focus on analyzing data using R, often within business environments, while Data Scientists employ advanced statistical and machine learning techniques to extract insights, often working on complex models and algorithms. Both roles require strong analytical skills, but Data Scientists typically have a broader skill set including programming languages like Python and expertise in machine learning.

More about Full Time Data Analyst R Programming jobs
What cities are hiring for Full Time Data Analyst R Programming jobs? Cities with the most Full Time Data Analyst R Programming job openings:
What are the most commonly searched types of Data Analyst R Programming jobs? The most popular types of Data Analyst R Programming jobs are:
What states have the most Full Time Data Analyst R Programming jobs? States with the most job openings for Full Time Data Analyst R Programming jobs include:
What job categories do people searching Full Time Data Analyst R Programming jobs look for? The top searched job categories for Full Time Data Analyst R Programming jobs are:
Infographic showing various Full Time Data Analyst R Programming job openings in the United States as of July 2026, with employment types broken down into 65% Full Time, 4% Part Time, and 31% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Clay Labs

New York, NY • On-site

$130K - $170K/yr

Full-time

Re-posted 2 days ago


Job description

About Clay
Our mission is to help organizations turn any growth idea into reality.
We see growth as a creative practice, not a formula. Finding and reaching your best-fit customers takes unique ideas and constant iteration. As AI makes execution faster and tactics easier to copy, creativity is the only lasting advantage. We're already helping thousands of customers - including Anthropic, Notion, Google, and Ramp - go to market with unique data, signals, and AI research.
In 2025, we raised a $100M Series C backed by world-class investors including Sequoia, CapitalG, and First Round - and crossed $100M in revenue.
In 2026, we announced our second employee tender offer in 9 months at a new $5B valuation. We also launched a community equity round, for our customers, agency partners, and club members.
Some things to know about us:
  • Our community includes 11,000+ customers, 150+ integration partners, 125+ agencies, 50+ Clay clubs, and 30k members on Slack.
  • Our culture is unique inside and outside of work. Our team members are also DJs, activists, writers, clowns, marathoners, skydivers, psychedelic therapists, social workers, and more.
  • All employees can work for free with world-class coaches who specialize in creativity, management, and more.
  • Our operating principles - including negative maintenance and non-attached action - guide our work. Read more about them here.
  • Read about us in the NYT, Forbes, First Round Review, and more.

Hear from our employees directly on our Glassdoor page!
Data @ Clay
We're looking for a Data Analyst to help make Clay data-driven from the ground up. You'll join a team of experienced data scientists and analytics engineers, while partnering closely with Product and Go-to-Market teams to build foundational data models, dashboards, and analyses that teams rely on every day.
This role is ideal for someone earlier in their data career who wants to learn quickly from senior teammates, take on meaningful ownership from day one, and do that work inside one of the fastest-growing AI startups while digging deeply into data to understand why things are happening, not just what is happening.
What you'll do
  • Build and own analytics data models
    • Write clean, maintainable SQL against Snowflake to power core metrics, dashboards, and analytical workflows.
  • Build and iterate on analytics metrics and tables
    • Build and iterate on metrics and tables in dbt, and surface them through dashboards in Sigma to help teams understand product usage, performance, and change over time.
  • Explore data deeply to answer open-ended questions
    • Use SQL as your primary tool, with Python or R in a notebook environment like Hex when helpful, to investigate trends, anomalies, and product behavior and connect analyses back to real business questions.
  • Help operationalize data
    • Support reverse ETL workflows using Census, helping make modeled data actionable in the tools teams use day-to-day.
  • Translate questions into insight
    • Partner with cross-functional teams to turn ambiguous questions into clear, useful analytical outputs.
What we're looking for
  • Strong SQL fundamentals - comfortable with joins, CTEs, window functions, and clear query structure
  • Experience building analytical data models or metrics tables using dbt or similar analytics-engineering workflows
  • Comfortable working with BI tools like Sigma, Looker, Tableau, Mode, or similar
  • Strong analytical intuition - able to ask the right questions, explore data thoughtfully, and synthesize clear, well-reasoned conclusions
  • Clear communicator who can share insights with technical and non-technical partners
  • Deeply curious about product usage and business performance - motivated to go beyond the what to understand the why, without getting lost in rabbit holes
  • 2+ years of full-time work experience in a related role
Nice to have
  • Experience with Snowflake or other similar cloud data warehousing tools
  • Comfortable using SQL as the primary analysis tool, with the ability to use Python or R when helpful for deeper or more efficient analysis
  • Familiarity with Hex or other notebook-based analysis tools
  • Familiarity with Census or other reverse ETL tools
  • Prior experience in a product-led or B2B SaaS environment