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Entry Level Data Analyst R Programming Jobs in Baltimore, MD

SynergisticIT

SQL Developer (Entry-Level)

Baltimore, MD · On-site

$49 - $67/hr

Data scientists and analysts depend on clean, accessible, reliable data--and data engineers help make that possible. Entry-level candidates can stand out by showing they understand data movement ...

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.

T. Rowe Price

HR Data Analyst

Owings Mills, MD · Hybrid

The Analyst will gather data and analyze compensation trends in the external market, make ... Our commitment and inclusive programming aim to lift the experience for each associate and builds ...

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All JobsData Analyst R Programming JobsEntry Level Data Analyst R Programming JobsEntry Level Data Analyst R Programming Jobs in Baltimore, MD

Entry Level Data Analyst R Programming information

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How much do entry level data analyst r programming jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for entry level data analyst r programming in Baltimore, MD is $32.72, according to ZipRecruiter salary data. Most workers in this role earn between $21.01 and $36.54 per hour, depending on experience, location, and employer.

What is an entry level data analyst r programming?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What skills and qualifications are needed to thrive as an entry level data analyst r programming?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

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:

What are popular job titles related to Entry Level Data Analyst R Programming jobs in Baltimore, MD?

For Entry Level Data Analyst R Programming jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst R Programming jobs in Baltimore, MD look for?

The top searched job categories for Entry Level Data Analyst R Programming jobs in Baltimore, MD are:

Entry Level Data Analyst R Programming jobs near you
Infographic showing various Entry Level Data Analyst R Programming job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $68,052 per year, or $32.7 per hour.

Scientific Data Analyst (Surveillance)

Goldbelt, Inc.

Silver Spring, MD

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

Overview

Please note that this position is contingent upon the successful award of a contract currently under bid.

Goldbelt Apex, a part of the Healthcare Technology Transformation Group, is a data-focused company dedicated to process and quality in every aspect. As experts in healthcare IT experts, Apex is committed to building systems for healthcare organizations to seamlessly communicate and exchange data across different systems and devices. 

Summary:

Goldbelt Apex is seeking an experienced Scientific Data Analyst (Surveillance) to support the Defense Health Agency's Psychological Health Center of Excellence (PHCoE). This position provides analytical expertise supporting behavioral health surveillance, data management, statistical reporting, and decision support activities that inform psychological health programs across the Military Health System.

The successful candidate will analyze complex healthcare and behavioral health datasets, identify trends affecting Service Member health and readiness, develop data visualizations and reports, and support evidence-informed decision-making through advanced analytical techniques. This role works closely with Government stakeholders, researchers, epidemiologists, statisticians, and behavioral health professionals to transform data into actionable intelligence.


Responsibilities

Essential Job Functions:

  • Analyze large behavioral health, healthcare, and surveillance datasets to identify trends, patterns, and emerging issues affecting military populations.
  • Support psychological health surveillance initiatives through data collection, validation, analysis, and interpretation.
  • Develop dashboards, data visualizations, executive reports, and briefing materials that communicate analytical findings to Government leadership.
  • Perform data quality assessments and ensure the integrity, accuracy, and completeness of analytical products.
  • Support development and maintenance of surveillance metrics, performance indicators, and reporting methodologies.
  • Collaborate with researchers, statisticians, epidemiologists, clinicians, and Government stakeholders to support ongoing behavioral health research and surveillance initiatives.
  • Analyze healthcare utilization, behavioral health outcomes, and population health data to support strategic planning and policy development.
  • Develop reproducible analytical workflows using appropriate statistical and data management software.
  • Prepare technical documentation, analytical reports, presentations, and data summaries supporting contract deliverables.
  • Assist in integrating data from multiple healthcare and research sources to support comprehensive surveillance efforts.
  • Identify opportunities to improve data collection, reporting processes, and analytical methodologies.
  • Ensure analytical products comply with scientific standards, privacy requirements, and Government data management policies.
  • Support special studies, rapid response analyses, and emerging behavioral health initiatives as requested.

Qualifications

Necessary Skills and Knowledge:

  • Strong knowledge of healthcare and behavioral health data analysis.
  • Experience working with large, complex datasets from multiple data sources.
  • Proficiency with statistical software such as SAS, R, SQL, Python, SPSS, or comparable analytical tools.
  • Knowledge of data visualization platforms such as Tableau, Power BI, or similar business intelligence software.
  • Understanding of healthcare surveillance methodologies and performance measurement.
  • Knowledge of data governance, quality assurance, and validation techniques.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent technical writing and presentation skills.
  • Ability to communicate analytical findings to both technical and non-technical audiences.
  • Ability to work effectively within multidisciplinary scientific and healthcare teams.

Minimum Qualifications:

  • Bachelor's degree in Data Science, Statistics, Computer Science, Public Health, Health Informatics, Epidemiology, Mathematics, or a related discipline.
  • Meet all education and experience requirements identified in the solicitation for the Scientific Data Analyst labor category.
  • Demonstrated experience analyzing healthcare, behavioral health, public health, or scientific datasets.
  • Experience developing dashboards, performance metrics, and executive-level reports.
  • Experience supporting surveillance, epidemiology, population health, healthcare operations, or research initiatives.
  • Experience performing statistical analyses and interpreting complex analytical findings.
  • Experience integrating and validating data from multiple systems or databases.
  • Experience supporting Government agencies, healthcare organizations, research institutions, or comparable environments.
  • U.S. Citizenship.
  • Ability to obtain and maintain a Public Trust background investigation and Common Access Card (CAC).
  • Occasional travel may be required in support of contract performance.

Preferred Qualifications:

  • Preference may be given to candidates with experience supporting:
    • Defense Health Agency (DHA)
    • Psychological Health Center of Excellence (PHCoE)
    • Military Health System (MHS)
    • Department of Defense (DoD)
    • Department of Veterans Affairs (VA)
    • National Institutes of Health (NIH)
    • Centers for Disease Control and Prevention (CDC)
    • Department of Health and Human Services (HHS)
  • Experience supporting behavioral health surveillance or healthcare analytics.
  • Experience working with military healthcare or population health datasets.
  • Experience developing executive dashboards and business intelligence products.
  • Knowledge of healthcare data standards, data warehouses, and clinical information systems.
  • Experience supporting federally funded healthcare research programs.
  • Experience applying predictive analytics, machine learning, or advanced analytical methodologies to healthcare data.
  • Experience presenting analytical findings to senior leadership.

Pay and Benefits

The annual salary range for this position is $135,000 to $155,000. This is a proposal-contingent position. The salary range provided represents the anticipated compensation for this role; however, final compensation will be based on the successful contract award and the selected candidate's qualifications and experience.

At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

Qualifications:

Necessary Skills and Knowledge:

  • Strong knowledge of healthcare and behavioral health data analysis.
  • Experience working with large, complex datasets from multiple data sources.
  • Proficiency with statistical software such as SAS, R, SQL, Python, SPSS, or comparable analytical tools.
  • Knowledge of data visualization platforms such as Tableau, Power BI, or similar business intelligence software.
  • Understanding of healthcare surveillance methodologies and performance measurement.
  • Knowledge of data governance, quality assurance, and validation techniques.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent technical writing and presentation skills.
  • Ability to communicate analytical findings to both technical and non-technical audiences.
  • Ability to work effectively within multidisciplinary scientific and healthcare teams.

Minimum Qualifications:

  • Bachelor's degree in Data Science, Statistics, Computer Science, Public Health, Health Informatics, Epidemiology, Mathematics, or a related discipline.
  • Meet all education and experience requirements identified in the solicitation for the Scientific Data Analyst labor category.
  • Demonstrated experience analyzing healthcare, behavioral health, public health, or scientific datasets.
  • Experience developing dashboards, performance metrics, and executive-level reports.
  • Experience supporting surveillance, epidemiology, population health, healthcare operations, or research initiatives.
  • Experience performing statistical analyses and interpreting complex analytical findings.
  • Experience integrating and validating data from multiple systems or databases.
  • Experience supporting Government agencies, healthcare organizations, research institutions, or comparable environments.
  • U.S. Citizenship.
  • Ability to obtain and maintain a Public Trust background investigation and Common Access Card (CAC).
  • Occasional travel may be required in support of contract performance.

Preferred Qualifications:

  • Preference may be given to candidates with experience supporting:
    • Defense Health Agency (DHA)
    • Psychological Health Center of Excellence (PHCoE)
    • Military Health System (MHS)
    • Department of Defense (DoD)
    • Department of Veterans Affairs (VA)
    • National Institutes of Health (NIH)
    • Centers for Disease Control and Prevention (CDC)
    • Department of Health and Human Services (HHS)
  • Experience supporting behavioral health surveillance or healthcare analytics.
  • Experience working with military healthcare or population health datasets.
  • Experience developing executive dashboards and business intelligence products.
  • Knowledge of healthcare data standards, data warehouses, and clinical information systems.
  • Experience supporting federally funded healthcare research programs.
  • Experience applying predictive analytics, machine learning, or advanced analytical methodologies to healthcare data.
  • Experience presenting analytical findings to senior leadership.

Pay and Benefits

The annual salary range for this position is $135,000 to $155,000. This is a proposal-contingent position. The salary range provided represents the anticipated compensation for this role; however, final compensation will be based on the successful contract award and the selected candidate's qualifications and experience.

At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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