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Remote Data Analyst R Programming Jobs in Washington

A.C. Coy

Sr. Data Analyst (part-time, hybrid)

Arlington, VA · On-site +1

$98K - $124K/yr

Write programming codes, such as DAX and data Mash-up(M) for data manipulation, sorting ... Python, R, and Java Scripts). * 3+ years of experience working with Microsoft Power Platform ...

CareFirst

Lead Data Analyst (Remote)

Columbia, MD · Remote

Engages in data exploration using various programming languages (reading and writing code), requiring advanced knowledge of multiple database structures. * Collect, analyze, and interpret data to ...

ConnectPrep

Data Analyst Internship

Washington, DC · Remote

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

MM International

Credit Card Data Analyst

Mclean, VA · Remote

Credit Card Data Analyst Location: Mclean, VA, Richmond, VA and Plano, TX (Try for Local) (Open for Remote As well) Relocation is accepted as well/ Remote (CST Time Zone) Hybrid Location if Onsite ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

Addison Group

Senior Data Analyst

Washington, DC · Remote

$135K - $150K/yr

Remote Job Type: Full-Time | Exempt Salary: $135,000 - $150,000 / Year Benefits: This position is eligible for medical, dental, vision, and 401(k). The Informatics Data Analyst has primary ...

Addison Group

Senior Data Analyst

Washington, DC · Remote

$135K - $150K/yr

Remote Job Type: Full-Time | Exempt Salary: $135,000 - $150,000 / Year Benefits: This position is eligible for medical, dental, vision, and 401(k). The Informatics Data Analyst has primary ...

SAIC

Data Analyst - GEOINT Technical SME

Springfield, VA · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Analyst - GEOINT Technical SME applies their technical and analytical capabilities to support key business and security ...

ICF

Senior Data Analyst (Databricks) - Remote USA

Reston, VA · On-site +1

$89K - $112K/yr

We are seeking a Senior Data Analyst (Databricks) to join our growing team, supporting mission ... Partner with product owners, business stakeholders, data engineers, QA/test teams, UX/CX ...

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All JobsData Analyst R Programming JobsRemote Data Analyst R Programming JobsRemote Data Analyst R Programming Jobs in Washington

Remote Data Analyst R Programming information

What are the key skills and qualifications needed to thrive as a Remote Data Analyst specializing in R Programming, and why are they important?

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a Remote Data Analyst specializing in R Programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What is a Remote Data Analyst R Programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.
What are the most commonly searched types of Data Analyst R Programming jobs in Washington? The most popular types of Data Analyst R Programming jobs in Washington are:
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What cities in Washington are hiring for Remote Data Analyst R Programming jobs? Cities in Washington with the most Remote Data Analyst R Programming job openings:
Remote Data Analyst R Programming jobs near you
Occupational Safety and Health Data Analyst

Occupational Safety and Health Data Analyst

ERG

Washington, DC • Remote

$58K - $70K/yr

Full-time

Re-posted 18 days ago

Job description

ERG is a research and consulting firm that provides a wide range of support to federal, state, and commercial clients. ERG offers multidisciplinary teams with nationally recognized skills in engineering, science, economics, public health, informational technology, and communications. We hire people with the best minds and then provide them with a vibrant and flexible environment in which to develop their careers. The qualified individual must be highly motivated with the skills to prioritize, perform, and communicate effectively in a fast-paced environment. 

ERG is seeking a curious, detail-oriented analyst to support national occupational safety and health programs by analyzing and classifying real-world workplace injury and illness data. Your work directly supports the Occupational Safety and Health Administration’s (OSHA) efforts to understand injury and illness trends and improve worker safety across the U.S. This entry- or mid-level role is ideal for someone who enjoys analytical work, applies sound judgement consistently, and is motivated by contributing to real world improvements in worker health and safety. You will analyze work-related fatality, catastrophe, and severe injury or illness records, draft brief incident narratives, and assign case characteristic codes for each using the Bureau of Labor Statistics (BLS) Occupational Injury and Illness Classification System (OIICS).  

This position is available part-time (minimum 20 hours/week) or full-time, is fully remote, and includes daily collaboration with a supportive analyst team using Microsoft Teams.

Job Description:
  • Review workplace injury, illness, and fatality records and apply standardized case‑classification codes using the Bureau of Labor Statistics (BLS) Occupational Injury and Illness Classification System (OIICS).
  • Exercise thoughtful, independent judgment to accurately classify complex or ambiguous cases while maintaining speed and consistency.
  • Draft brief, clear incident narratives that summarize the circumstances of each case in plain, concise language.
  • Manage multiple work queues and deadlines while maintaining high quality and attention to detail.
  • Collaborate regularly with team members and senior analysts for guidance, quality checks, and knowledge sharing.
  • Contribute to documentation, process improvements, and evolving analytical practices over time.

Experience with occupational health and safety and structured coding (e.g. OIICS, ICD coding) is preferred. However, training for OIICS version 3.03 coding will be provided.

Qualifications and Skills:
  • A bachelor’s degree in communications, health/environmental science, statistics, or related field
  • Strong analytical thinking and attention to detail, with the ability to apply rules consistently
  • Excellent writing, editing, and verbal communication skills with the ability to convey complex information clearly and concisely
  • Outstanding time-management and organizational skills with the ability to work independently in a remote environment to accomplish assignments in a timely manner
  • Experience or strong interest in data analysis, public health, occupational safety, epidemiology, or related fields
  • Proficiency in Microsoft Office 365 (Word, Access, Excel, PowerPoint, Teams, and SharePoint)
  • Willingness and ability to learn new software and technical skills as required
Preferred Qualifications:
  • Experience with structured classification or coding systems (e.g., OIICS, ICD, or similar)
  • Experience or coursework in data analysis or data management
  • Familiarity with SAS, R, Power BI, Qlik, or other analytical tools
  • Prior exposure to occupational health, injury or illness surveillance, or public health research
ERG offers competitive salaries and excellent benefits, including health and dental insurance, life insurance, long-term disability, educational benefits, FSAs, a generous 401k plan, profit sharing, an EAP, 11-20 paid vacation days per year, 10 paid holidays per year, 56 hours or more of sick leave (based on the state you work in) per year (pro-rated for part-time) and more. The salary range for all positions depends on the years and type of experience. 
  
ERG is an equal opportunity employer and complies with all applicable EEOC regulations. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual preference, national origin, disability, or status as a protected veteran.  
   
Please be aware, the only authentic corporate domain for ERG is https://www.erg.com.  ERG may, on occasion, screen applicants via telephone or video interviews via Skype, Teams, GoToMeeting, or another type of video platform. However, any candidate extended a job offer might be asked to meet in person with an ERG employee before providing confidential personal information associated with new employment. 
  
If you’re a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access ERG’s online application process as a result of your disability. To request accommodation, please contact Human Resources via email at Resumes-Lex@erg.com or call (781) 674-7293. 
  
ERG fosters a friendly, flexible work environment. ERGers are dedicated to serving clients who are committed to making the world a better place. We promote and recognize principles of fairness and respect in the work we do, the partnerships we foster, and the culture we value both within and outside of our organization.