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Data Analyst R Programming Jobs in Baltimore, MD

Booz Allen Hamilton, Inc.

Data Analyst, Senior

Annapolis, MD · On-site

$85K - $107K/yr

As data analyst, you love diving into data and turning it into meaningful insights. With the ... Utilize different programming languages to modify, write, and execute code, open, read, and modify ...

Booz Allen Hamilton, Inc.

Data Analyst, Senior

Columbia, MD · On-site

$85K - $107K/yr

As data analyst, you love diving into data and turning it into meaningful insights. With the ... Utilize different programming languages to modify, write, and execute code, open, read, and modify ...

Booz Allen Hamilton

Data Analyst, Senior

Columbia, MD · On-site

$85K - $107K/yr

As data analyst, you love diving into data and turning it into meaningful insights. With the ... Utilize different programming languages tomodify, write,and executecode, open, read, andmodifyfiles ...

Alimentiv

Clinical Data Analyst

Baltimore, MD · Remote

Work closely with other technical roles (Data Management, Database Programming, Statistics, Enterprise Analyses, etc.) to drive data governance and excellence. * Assess ways to further leverage ...

iNovex Information Systems

Data Analyst 2

Annapolis, MD · On-site

$110K - $160K/yr

... end analytics and data science services within the REALM of cybersecurity. Your effort and ... Reverse Engineers, responsible for improving, protecting, and defending our Nation's Security.

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Data Analyst R Programming information

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$33.8K

$82.1K

$135.1K

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

As of Jun 7, 2026, the average yearly pay for data analyst r programming in Baltimore, MD is $82,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 per year, depending on experience, location, and employer.

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

To excel as a Data Analyst R Programming, you need strong analytical abilities, proficiency in statistical analysis, and hands-on experience with R, often supported by a degree in statistics, mathematics, or a related field. Familiarity with R libraries (such as dplyr, ggplot2), databases (like SQL), and data visualization tools, as well as potential certifications in data analysis or R programming, are highly beneficial. Exceptional problem-solving skills, attention to detail, and clear communication will set you apart when interpreting data and sharing insights with stakeholders. These capabilities are essential for turning raw data into actionable business insights, ensuring data-driven decisions, and fostering collaborative project success.

What is a Data Analyst R Programming job?

A Data Analyst specializing in R Programming uses the R language to analyze, visualize, and interpret data to support business decisions. This role involves cleaning and transforming data, performing statistical analysis, and creating data visualizations or reports. Analysts in this field often work with databases, machine learning models, and automation tasks using R packages like dplyr, ggplot2, and tidyr. They typically collaborate with stakeholders to extract insights and communicate findings in a meaningful way.

What are typical projects or daily tasks for a Data Analyst specializing in R Programming?

As a Data Analyst with expertise in R Programming, your typical responsibilities include cleaning and preparing large datasets, conducting statistical analyses, and creating visualizations to support business decisions. You’ll frequently use R to automate data processing workflows, generate reports, and explore insights, collaborating closely with data scientists, business analysts, and department managers. Projects may range from market trend analysis and customer segmentation to developing predictive models for operational improvements. This role often involves both independent analytical work and active participation in cross-functional meetings to present findings and recommendations.

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Data Analyst R Programming jobs near you
Healthcare Data Analyst Consultant (Risk Adjustment & Stars)

Healthcare Data Analyst Consultant (Risk Adjustment & Stars)

CYNET SYSTEMS

Columbia, MD • On-site

$72 - $77/hr

Contractor

Posted 17 days ago

Job description

Job Overview:
 
Pay Range: $72.23hr - $77.23hr
  • Responsible for supporting enterprise Risk Adjustment and Stars strategies through advanced analytics, reporting, and collaboration with healthcare policy makers, business leaders, IT teams, and product owners. 
  • The role involves identifying trends and opportunities across Medicare and Medicaid programs, developing analytical models and visualizations, supporting quality and risk initiatives, and delivering data-driven recommendations that improve business outcomes.

Requirement/Must Have:

  • Strong experience in healthcare data analysis, modeling, and reporting.
  • Expertise in Medicare Advantage, Medicaid, Risk Adjustment, and Stars programs.
  • Strong programming experience with SQL, Python, R, SAS, or similar technologies.
  • Experience developing reports, dashboards, and visualizations using Power BI or Tableau.
  • Strong analytical and problem-solving skills.
  • Experience transforming, cleansing, and validating large data sets.
  • Strong understanding of relational databases, dimensional modeling, and star schemas.
  • Ability to manage multiple priorities and deliver results in fast-paced environments.
  • Strong communication and collaboration skills across business and technical teams.

Experience:

  • Bachelor’s degree in Data Science, Mathematics, Computer Science, Statistics, or related field required.
  • 10 years of experience in data science methodologies, analytics, modeling, and reporting required.
  • Master’s or PhD in related disciplines preferred.
  • Experience with Azure Cloud native programs preferred.
  • Agile software development experience preferred.
  • Experience working with large datasets and distributed computing technologies such as Hive or Hadoop preferred.
  • Experience working with healthcare data including EMR, clinical data, or social determinants of health preferred.

Responsibilities:

  • Support enterprise Stars and Risk Adjustment strategies through advanced analytics and collaboration with stakeholders.
  • Identify trends and opportunities across Medicare and Medicaid healthcare programs.
  • Partner with business leaders, IT teams, and product owners to guide analytics initiatives and priorities.
  • Identify and quantify key drivers impacting Risk Adjustment and Quality/Stars programs.
  • Investigate opportunities, evaluate effectiveness, and provide actionable recommendations.
  • Develop and maintain reports, dashboards, and visualizations for business stakeholders.
  • Create scheduled and ad hoc reports to support Risk Adjustment and Quality initiatives.
  • Monitor application performance and recommend process and algorithm improvements.
  • Work with clients, data stewards, and technology teams to define business problems and solutions.
  • Stay current with Medicare and Medicaid regulatory requirements and update analytics accordingly.
  • Collaborate with external vendors and government agencies as needed.
  • Manage multiple concurrent projects and shifting priorities effectively.

Should Have:

  • Experience with Azure Cloud environments.
  • Experience with Hive, Hadoop, or distributed computing frameworks.
  • Experience working with unstructured healthcare data.
  • Agile software development experience.
  • Experience with healthcare quality and risk adjustment programs.

Skills:

  • Risk Adjustment and Stars analytics.
  • Medicare and Medicaid healthcare analytics.
  • SQL, Python, R, and SAS programming.
  • Power BI and Tableau visualization.
  • Data modeling and dimensional design.
  • Data cleansing and transformation.
  • Relational databases and star schemas.
  • Healthcare data analysis.
  • Analytical problem-solving.
  • Reporting and dashboard development.

Qualification And Education:

  • Bachelor’s degree in Data Science, Mathematics, Computer Science, Statistics, or related field required.
  • Master’s or PhD preferred.
  • Additional relevant work experience may be considered in lieu of degree requirements.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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