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Entry Level Data Analyst R Programming Jobs in Baltimore, MD

ANOVA) using statistical software applications such as R and SPSS * Work with Senior Database ... Data analysis, involved in both primary and secondary research using data to arrive at decision ...

Perform data analysis to identify trends, patterns, and correlations. C. Create data models ... The candidate should be proficient in SQL, Python, R, or related programming Why You Will Love ...

Perform data analysis to identify trends, patterns, and correlations. C. Create data models ... The candidate should be proficient in SQL, Python, R, or related programming Why You Will Love ...

Perform data analysis to identify trends, patterns, and correlations. C. Create data models ... The candidate should be proficient in SQL, Python, R, or related programming Why You Will Love ...

Utilizes various data analysis tools and software (like SAS, SQL, Excel, R, Python, Tableau, etc ... Minimum of 2 years of hands-on SAS or other statistical programming work experience or demonstrated ...

Utilizes various data analysis tools and software (like SAS, SQL, Excel, R, Python, Tableau, etc.) to manipulate and analyze data, identifying trends in data to pinpoint variances, outliers, and ...

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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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 Sep 13, 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:

What cities near Baltimore, MD are hiring for Entry Level Data Analyst R Programming jobs?

Cities near Baltimore, MD with the most Entry Level Data Analyst R Programming job openings:

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 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $68,052 per year, or $32.7 per hour.

Scientific Data Analyst SME III

Silver Spring, MD • On-site

Kids for the Future
Outpatient Health Care • 11 - 50 employees

$90K - $133K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 11 days ago


Kids For The Future rating

3.3

Company rating: 3.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

  • Location Various,Silver Spring, MD, 20815,United States
  • Job Category Scientific & Medical Research
  • Employee Type FT Exempt
  • Required Degree Masters
Description

Position: Scientific Data Analyst SME III

Location: Psychological Health Center of Excellence (PHCoE)

Work Environment: Hybrid / Telework Eligible (Routine and situational telework is authorized. Facility space restrictions may necessitate part-time or full-time telework.)

Clearance Required: TIER 2: Non-critical sensitive position (Must be able to obtain and maintain)

Status: Full-Time

Salary Range: $90,000 - $133,000

Knowesis is seeki ng an SME III – Scientific Data Analyst to provide statistical analysis and health surveillance support to the PHCoE research and epidemiology missions. This role conducts statistical analyses of large administrative healthcare datasets and produces data visualizations and written findings that support the Center's research and medical intelligence activities.

The Job Duties and Responsibilities include but are not limited to the following:

  • Conduct statistical analyses of large administrative healthcare datasets in support of the PHCoE research mission.
  • Create data visualizations and other reporting vehicles to disseminate analytic findings.
  • Interact with enterprise medical databases to conduct epidemiological, clinical surveillance, and medical intelligence investigations.
  • Use administrative and clinical data to develop and operationalize outcome metrics to support high-quality mental health care delivery.
  • Prepare written artifacts of statistical analyses, including methods, results, interpretations, and tables/figures.
  • Produce technical artifacts (e.g., reports, tools, briefings, presentations, and manuscripts) consistent with the PHCoE mission set.

Required Qualifications:

  • Master's degree in Statistics, Epidemiology, or a related field.
  • At least 8 years of experience analyzing large administrative healthcare datasets

Preferred Qualifications:

  • Proficiency in SQL, SAS, or R programming.
  • Experience navigating the MHS Information Platform (MIP) or similar military health data systems.
  • Health (PPO & HDHP) Insurance, Dental, Vision, STD & LTD, Basic Life Insurance, 401k Company Match, & Voluntary Products.

Knowesis is committed to providing equal employment opportunities to all individuals based on merit and qualifications. We prohibit discrimination in all aspects of employment as required by Title VII of the Civil Rights Act and other applicable federal laws. Our company values all applicants and employees and fosters a work environment where everyone is treated with respect and dignity.

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