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Data Analyst R Jobs (NOW HIRING)

Data Analyst

Lewes, DE · On-site +1

Proficiency in data analysis tools such as SQL, Excel, Python, or R. * Experience with data visualization tools like Tableau, Power BI, or similar. * Strong analytical and problem-solving skills with ...

Proficiency in data analysis tools such as SQL, Python, R, or Excel. Experience with data visualization tools like Tableau, Power BI, or Google Data Studio. Strong analytical and problem-solving ...

Experience with Python or R for data analysis and automation. * Exposure to cloud platforms such as AWS, Azure, or Google Cloud. * Knowledge of ETL processes and data integration tools. * Experience ...

Familiarity with Python (Pandas, NumPy) or R for statistical analysis. * Understanding of data modeling concepts and collaboration with Data Engineers. * Excellent communication and presentation ...

Data Analyst Location: Pittsburgh, PA Onsite position Fulltime Position *****NO C2C**** JD * Data ... Familiarity with languages like Python or R. * Data Cleaning and Preparation: Skills in data ...

I have an opportunity for a "Data Analyst" - ( Alpharetta, GA - Hybrid) and I am looking for a ... Experience in Statistical techniques (R, hypothesis testing). Best Regards, David Miller | PH: 224 ...

Data Analyst

San Francisco, CA · Remote

$1K - $1K/mo

... or R, with the ability to manipulate and analyze data efficiently. • Adept at working with large datasets, utilizing statistical techniques to extract meaningful insights and drive informed ...

Data Analyst

Washington, DC · On-site

$85K - $115K/yr

Utilize technologies including Python, R, SQL, and Tableau to analyze data and identify trends. * Assist in the evaluation of training opportunities and provide basic recommendations. * Support the ...

Data Analyst - Expression of Interest At ChangeIs, we work alongside U.S. Federal organizations to ... Experience with Python, R, or similar tools is a plus. * Data Management: Understanding of data ...

... R, Stata, pandas to analyze data * 36 months experience with MS Microsoft Office Suite and Adobe software * 24 months of experience tracking and/or coordinating projects * Bachelor's Degree in ...

Proficient in data analysis tools such as SQL, Excel, and statistical software (e.g., R, Python). * Experience with data visualization tools (e.g., Tableau, Power BI) to create compelling visual ...

Data Analyst

New York, NY · On-site

$130K - $170K/yr

Data @ Clay We're looking for a Data Analyst to help make Clay data-driven from the ground up. You ... Use SQL as your primary tool, with Python or R in a notebook environment like Hex when helpful, to ...

Data Analyst Engineer Location: Malvern, PA - Hybrid Duration: 6 -12 months Two Round Interview ... SQL Development experience (and/or Python development) (SAS or R could also be helpful) * Tableau ...

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

Utilize Python, R, and other scripting languages for data analysis and automation * Apply data mining, graph algorithms, and statistical techniques to support mission objectives * Work with SQL and ...

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Data Analyst R information

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$34K

$82.6K

$136K

How much do data analyst r jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data analyst r 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 a Data Analyst R job?

A Data Analyst R job involves analyzing and interpreting data using the R programming language. Professionals in this role collect, clean, and process data, then apply statistical techniques and visualizations to extract insights. They work with databases, create reports, and support decision-making in business, healthcare, finance, or other industries. Proficiency in R, SQL, and data visualization tools is essential.

What are the key skills and qualifications needed to thrive in the Data Analyst R position, and why are they important?

To excel as a Data Analyst R, candidates require strong analytical abilities, proficiency in statistical modeling, and a solid background in mathematics or related fields, often supported by a relevant degree. Expertise in the R programming language, knowledge of data visualization libraries, and experience with database querying (such as SQL) are commonly expected; certifications in data analysis or R programming can be advantageous. Attention to detail, critical thinking, and effective communication skills help data analysts translate complex data insights into actionable business recommendations. These competencies enable Data Analyst R professionals to accurately interpret data, efficiently support business decisions, and foster collaboration across departments.

What does a typical day look like for a Data Analyst R, and how do they work with other teams?

A Data Analyst R typically spends their day extracting, cleaning, and analyzing large datasets using R, generating reports, and building data visualizations to communicate findings. Collaboration is a key aspect, as analysts often work closely with business stakeholders, IT teams, and fellow analysts or data scientists to define project objectives and interpret results. Regular meetings, presentation of findings, and participation in problem-solving discussions are common parts of the workflow. This collaborative, dynamic environment helps ensure that data-driven insights effectively support organizational goals and decision-making processes.

More about Data Analyst R jobs
What cities are hiring for Data Analyst R jobs? Cities with the most Data Analyst R job openings:
What states have the most Data Analyst R jobs? States with the most job openings for Data Analyst R jobs include:
Infographic showing various Data Analyst R job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Winaxis LLC

Lewes, DE • On-site, Remote

Full-time

Posted 26 days ago


Job description

Description

Join Winaxis LLC as a Data Analyst and play a crucial role in analyzing and interpreting complex data sets to drive key business decisions. As a Data Analyst at Winaxis LLC, you will be responsible for extracting, transforming, and presenting data in a meaningful way to support various projects and initiatives. This role is essential in providing valuable insights that will directly impact the company's strategic direction and growth.

As a Data Analyst at Winaxis LLC, you will work on a variety of projects ranging from market research and trend analysis to performance tracking and forecasting. Your analytical skills will be put to the test as you uncover patterns, trends, and correlations within the data to help optimize processes and improve overall business performance. This position offers a great opportunity to work remotely and collaborate with cross-functional teams to drive data-informed decisions.

Responsibilities:
  • Collect, clean, and validate data to ensure accuracy and reliability.
  • Analyze large datasets using statistical methods and data visualization techniques.
  • Interpret data and present findings to key stakeholders in a clear and concise manner.
  • Develop and maintain reports, dashboards, and data visualizations to track KPIs.
  • Identify trends, patterns, and insights to support business objectives.
  • Collaborate with teams to define data requirements for various projects.
  • Conduct ad-hoc analysis to address specific business questions and challenges.
  • Stay updated on industry trends and best practices in data analysis.
Requirements:
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
  • Proficiency in data analysis tools such as SQL, Excel, Python, or R.
  • Experience with data visualization tools like Tableau, Power BI, or similar.
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to work independently and collaborate effectively in a team environment.
  • Excellent communication skills to convey complex findings to non-technical stakeholders.
  • Knowledge of statistical methods and techniques for data analysis.
  • Experience in interpreting and analyzing large datasets to extract insights.