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Remote Data Analyst R Programming Jobs in Virginia Beach, VA

Think Consulting

Sr Data & AI Engineer

Virginia Beach, VA · On-site +1

$101.20K - $121.60K/yr

Flexible / Hybrid / Remote (as applicable) About the Role We are seeking a highly experienced ... Build and optimize data models, data warehouses, and lakehouse architectures to support analytics ...

USAA

Actuarial Analyst I

Chesapeake, VA · On-site +1

$103.45K - $197.73K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... data visualization, developing analysis queries and procedures in Python, R, SQL, SAS, BI tools or ...

Sodexo

Sales Business Analyst.

Virginia Beach, VA · Remote

This is a remote opportunity with candidate residing in one of the following locations, Mid ... Identify data inconsistencies, gaps, and process breakdowns impacting sales reporting, pipeline ...

Sodexo

Sales Business Analyst.

Virginia Beach, VA · Remote

This is a remote opportunity with candidate residing in one of the following locations, Mid ... Gather, analyze, and interpret sales, pipeline, and revenue data from multiple sources to support ...

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Remote Data Analyst R Programming information

See Virginia Beach, VA salary details

$32.3K

$78.4K

$129.1K

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

As of Jun 1, 2026, the average yearly pay for remote data analyst r programming in Virginia Beach, VA is $78,428.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,300.00 and $92,100.00 per year, depending on experience, location, and employer.

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 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 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 are the most commonly searched types of Data Analyst R Programming jobs in Virginia Beach, VA? The most popular types of Data Analyst R Programming jobs in Virginia Beach, VA are:
What are popular job titles related to Remote Data Analyst R Programming jobs in Virginia Beach, VA? For Remote Data Analyst R Programming jobs in Virginia Beach, VA, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Virginia Beach, VA look for? The top searched job categories for Remote Data Analyst R Programming jobs in Virginia Beach, VA are:
What cities near Virginia Beach, VA are hiring for Remote Data Analyst R Programming jobs? Cities near Virginia Beach, VA with the most Remote Data Analyst R Programming job openings:
Remote Data Analyst R Programming jobs near you

Sr Data & AI Engineer

Think Consulting

Virginia Beach, VA • On-site, Remote

$101.20K - $121.60K/yr

Other

Posted 21 days ago

Job description

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Experience Level: 8+ Years Location: Flexible / Hybrid / Remote (as applicable) About the Role

We are seeking a highly experienced Senior Data & AI Engineer to design, build, and scale modern data platforms and AI-driven solutions. This role sits at the intersection of data engineering, machine learning, and generative AI, with a strong focus on building reliable, production-ready systems that power analytics, intelligent applications, and LLM-based solutions.

You will work closely with data scientists, product teams, and business stakeholders to deliver high-impact data and AI capabilities on cloud-native architectures.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and data platforms using modern data engineering and cloud-native tools.
  • Build and optimize data models, data warehouses, and lakehouse architectures to support analytics and AI workloads.
  • Develop and deploy machine learning and AI solutions, including LLM-powered applications and AI-driven analytics.
  • Integrate large language models (LLMs), including OpenAI models, into enterprise data and application workflows.
  • Implement structured output and orchestration frameworks (e.g., Pydantic, LangChain) to support reliable LLM pipelines.
  • Collaborate with data scientists to productionize ML models using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Develop and optimize SQL and Spark workloads on platforms such as Databricks.
  • Support data visualization and BI solutions using tools like Power BI and/or Tableau.
  • Apply best practices in CI/CD, version control (Git), automated testing, and agile software development.
  • Evaluate and implement best-fit data architecture patterns, including Data Lakes, Data Mesh, Data Warehouses, and Lakehouse architectures.
  • Ensure data quality, reliability, security, and governance across data and AI solutions.
  • Mentor junior engineers and contribute to technical standards and architectural decisions.
Required Qualifications
  • 8+ years of experience in data engineering, analytics engineering, or related technical roles.
  • Strong programming skills in Python, with hands-on experience using ML frameworks such as TensorFlow, PyTorch, and/or Scikit-learn.
  • Deep understanding of data modeling, data warehousing concepts, and large-scale data processing.
  • Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
  • Experience working with modern data platforms and warehouses, including Databricks.
  • Proven experience building solutions using LLMs and generative AI, particularly with OpenAI APIs.
  • Solid understanding of modern data architecture patterns (Data Lake, Data Mesh, Data Warehouse, Lakehouse).
  • Experience with BI and data visualization tools such as Power BI and/or Tableau.
  • Familiarity with structured output tooling and LLM orchestration frameworks (e.g., Pydantic, LangChain).
  • Experience with CI/CD pipelines, Git-based version control, and agile development practices.
Preferred Qualifications
  • Experience with Spark, Delta Lake, or similar distributed data processing technologies.
  • Knowledge of MLOps practices and tools for model deployment and monitoring.
  • Exposure to real-time or streaming data architectures.
  • Strong communication skills and experience working with cross-functional teams.
What We Offer
  • Opportunity to work on cutting-edge data and generative AI initiatives.
  • Influence over technical architecture and platform direction.
  • Collaborative, growth-oriented engineering culture.
  • Competitive compensation and benefits package.


Equal Opportunity Employer, including disability and protected veteran status

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