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Afternoon 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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Afternoon Data Analyst R Programming information

See Baltimore, MD salary details

$33.8K

$82.1K

$135.1K

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

As of Jun 9, 2026, the average yearly pay for afternoon 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 is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
What are the most commonly searched types of Data Analyst R Programming jobs in Baltimore, MD? The most popular types of Data Analyst R Programming jobs in Baltimore, MD are:
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Afternoon 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 20 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.
Cynet Systems logo

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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