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Entry Level Data Analyst R Programming Jobs in Baltimore, MD

ASHLIN Management Group, Inc.

Data Analyst

Bowie, MD · On-site

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 ...

Interclypse Inc.

Data Analyst

Annapolis, MD · On-site

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 ...

Interclypse Inc.

Data Analyst

Annapolis Junction, MD · On-site

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 ...

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 ...

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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 Jul 26, 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 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 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 are the key skills and qualifications needed to thrive as an Entry Level Data Analyst specializing in R Programming, and why are they important?

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 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 July 2026, with employment types broken down into 86% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $68,052 per year, or $32.7 per hour.
Data Analyst

Data Analyst

ASHLIN Management Group, Inc.

Bowie, MD • On-site

Full-time

Posted 8 days ago

Job description

ASHLIN is an Equal Opportunity Employer. ASHLIN is also an Equal Opportunity of Protected Veterans and Individuals with Disabilities.

ASHLIN Management is a VEVRAA Federal Contractor and desires for Priority Referrals of Protected Veterans

DATA ANALYST

JOB DESCRIPTION

ASHLIN Management Group is seeking a Data Analyst to join our team working with our data analytics team. This professional will start off working with ASHLIN’s cloud-based visualization platform, CompassBI, powered by Sisense, on visualizing descriptive statistics and other key performance indicators and building ASHLIN’s library of dashboard templates. Additional projects will include supporting our team of project specialist in developing deliverables to our clients, based research and analysis methods, using statistical models on business data collected in field. Candidates should also be comfortable preparing routine as well as ad-hoc business reports and PowerPoint decks to present the information to senior management and clients.

Essential duties and responsibilities:


  • Develop visualizations using tools such as Tableau, PowerBI and/or Sisense
  • Use sophisticated data analysis methods to support project team in creating deliverable for client
  • Work with clients to devise methods to optimize data capturing schemes and overall program evaluation plan Perform statistical modeling (e.g. ANOVA) using statistical software applications such as R and SPSS
  • Work with Senior Database Architect(s) to develop analytical SQL queries and reports for tracking, trending, and interpreting business data
  • Perform ongoing data quality assessments, identify discrepancies/inconsistencies, and resolve them
  • Continually improve the end-to-end process of data collection, transformation, analysis, and reporting
  • Develop data management programs and forms for data entry and maintenance by end-users
  • Document data analysis and reporting architecture, designs, and write user guides
  • Other duties as defined by senior research team

Qualifications

To be successful in this position, the Data Analyst must have a minimum of 3 years’ experience in:

  • Data analysis, involved in both primary and secondary research using data to arrive at decision pertaining to marketing strategies
    • Ability to interpret complex data sets (quantitative and qualitative) into insights that lead to effective marketing strategies and frameworks
  • Strong data analysis modelling, specifically the successful candidate must be able to:
    • Conduct cross-tabular and ANOVA and other statistical analysis using R and/or SPSS
    • Interpret results of statistical analysis output and draw insights in order to make recommendations to senior management what steps to take
    • Present data, interpretation and resulting strategy in language that indicates a command of the material while at the same time making sense to lay persons who may not have a marketing and/or data analysis background
  • Develop data reports using the following tools and technologies:

  • MS-Excel (Pivot Tables, VBA, Power Pivot, H-Lookup, V-Lookup, Import/Export from/to external data sources)
  • Online Dashboards (e.g. Tableau, PowerBI, Sisense)
  • Expert level skills in the development of highly impactful PowerPoint slide decks
  • Development of scheduled and ad-hoc reports and analysis.
  • Working in a team environment with responsibility for delivery of timely and accurate business-critical reports and analysis:
    • Self-motivated and proactive, willing to drive a program of work to successful completion,
    • Strong oral/written communication, and presentation skills,
    • Ability to work with highly sensitive information and preserve the confidentiality of the information,
    • Detail oriented and capable of identifying and resolving data quality issues.

In addition, the following are highly desirable:

  • A minimum of 3 years’ experience with statistical analysis tools (e.g. R, SPSS)
  • A background in market research, or related disciplines
  • Working knowledge of relational databases (e.g. SQL)

Position requirements include:

  • At least a Bachelor’s Degree in Math, Probability & Statistics, or related data science field
  • Master’s degree in any of the above disciplines is highly desirable, or MBA
  • High proficiency with statistical analysis tools
  • Only open to candidates US Citizens and Permanent Residents currently authorized to work in the US