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Entry Level Data Analyst R Programming Jobs in Rockville, MD

An Engineer, 2 has broad knowledge of engineering procedures and assists in the resolution of ... The Data Analyst supports enterprise priorities across multiple business lines and contributes ...

Some openings will lean toward analytics engineering, while others will stay closer to stakeholder ... Specific openings may name SQL dialects, Python or R, spreadsheet platforms, BI products, semantic ...

Some openings will lean toward analytics engineering, while others will stay closer to stakeholder ... Specific openings may name SQL dialects, Python or R, spreadsheet platforms, BI products, semantic ...

An Engineer, 2 has broad knowledge of engineering procedures and assists in the resolution of ... The Data Analyst supports enterprise priorities across multiple business lines and contributes ...

Experience with Python, R, Power Query, or other data analysis and automation tools. * Experience with data modeling, ETL processes, and data warehouse concepts. * Experience automating recurring ...

As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our ...

As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our ...

Experience with Python, R, Power Query, or other data analysis and automation tools. * Experience with data modeling, ETL processes, and data warehouse concepts. * Experience automating recurring ...

As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our ...

As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our ...

Experience with Python, R, Power Query, or other data analysis and automation tools. * Experience with data modeling, ETL processes, and data warehouse concepts. * Experience automating recurring ...

As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our ...

As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our ...

As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our ...

As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our ...

As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our ...

Proficiency in Python, R, or another scientific programming language for biological data analysis. * Experience using standard bioinformatics tools for sequence alignment and genomic analysis.

Biologicial Data Analyst

Chantilly, VA · On-site

$90 - $130/hr

Proficiency in Python, R, or another scientific programming language for biological data analysis. * Experience using standard bioinformatics tools for sequence alignment and genomic analysis.

Showing results 41-60

Entry Level Data Analyst R Programming information

See Rockville, MD salary details

$13

$33

$62

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

As of Sep 2, 2026, the average hourly pay for entry level data analyst r programming in Rockville, MD is $33.56, according to ZipRecruiter salary data. Most workers in this role earn between $21.54 and $37.50 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 Rockville, MD?

The most popular types of Data Analyst R Programming jobs in Rockville, MD are:

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

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

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

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

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

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

Infographic showing various Entry Level Data Analyst R Programming job openings in Rockville, MD as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $69,808 per year, or $33.6 per hour.

Full-time

Re-posted 20 days ago


Job description

9th Way Insignia is seeking a Data Analyst to support a government customer in Washington, DC. The Data Analyst will support enterprise data modernization, reporting, analytics, and process improvement initiatives across multiple business lines. This position aligns to the Engineer 2 professional level within 9th Way Insignia's career families and is expected to operate as a technically strong contributor who can work with limited direction in a production environment.

Professional Level Information

An Engineer, 2 has a good understanding of the software development life cycle and can take on work without much direction majority of the time. Performs multiple engineering-related tasks in various assignments within the project and firm. An Engineer, 2 has broad knowledge of engineering procedures and assists in the resolution of complex problems. An Engineer, 2 has strong technical skills and background, a knack for learning new technologies, and a blend of good problem-solving and innovation needed to resolve a wide variety of technical production challenges.

Functional Job (LCAT) Information

The Data Analyst is responsible for analyzing complex datasets, identifying trends, gaps, anomalies, and structural risks, and translating business needs into structured data logic that supports reporting, analytics, automation, and operational decision-making. This role serves as a key bridge between business stakeholders and technical delivery teams by helping validate requirements, assess data integrity, and ensure business rules are correctly understood and implemented. The Data Analyst supports enterprise priorities across multiple business lines and contributes directly to more predictable, higher-quality delivery outcomes.

The Data Analyst is expected to work closely with ETL Developers, Power BI Developers, Power Apps Developers, Technical Project Managers, testers, technical writers, and Government stakeholders to refine requirements, analyze data sources, validate outputs, and identify corrective actions before deployment. The role also contributes to ROM development, work breakdown understanding, documentation of risks and dependencies, and improved planning visibility to support governance and decision-making.

Responsibilities

 Be available on Government site in Washington, DC during normal hours of operation.
 Analyze large and complex datasets to identify trends, gaps, anomalies, integrity issues, and structural risks affecting reporting, analytics, and operational processes.
 Assess new and existing data sources to determine data availability, quality, completeness, and suitability for business and technical use.
 Validate business rule implementation and confirm that technical solutions align with customer requirements and intended business outcomes.
 Translate ambiguous business needs into structured data logic, requirements clarifications, and analysis products that support technical implementation.
 Work closely with ETL developers, reporting developers, and other team members to identify data issues and provide corrective guidance.
 Support backlog refinement, requirements elaboration, sprint planning, sprint demonstrations, and incremental delivery in an agile environment.
 Perform data validation, reconciliation, and quality checks on outputs supporting dashboards, reports, ad hoc queries, and automated processes.
 Help document assumptions, risks, dependencies, and potential efficiencies to support ROM development, governance discussions, and planning inputs.
 Develop and maintain analysis artifacts, data definitions, validation documentation, and supporting operational documentation as part of normal delivery activities.
 Support multiple business lines and enterprise priorities as required.
 Other responsibilities as assigned.

Requirements

 Bachelor's degree in Computer Science, Information Systems, Data Analytics, Mathematics, Statistics, Engineering, or other technical discipline. Additional relevant experience may be substituted for a degree consistent with contract requirements.
 Minimum 2 years of relevant experience in data analysis, business intelligence, reporting analysis, data validation, or related technical delivery roles.  Additional 8 years of experience in lieu of degree. 
 Demonstrated experience analyzing large datasets and identifying trends, gaps, anomalies, and structural issues.
 Experience validating business rules, data quality, and integrity in support of production reporting, analytics, or operational solutions.
 Experience translating business requirements into structured data logic, analysis findings, and actionable guidance for developers and stakeholders.
 Experience working with SQL, relational data structures, and data extraction or analysis tools used in enterprise environments.
 Experience supporting agile or iterative delivery efforts with backlog-driven work, sprint-based execution, and incremental releases.
 Experience preparing analysis artifacts, validation documentation, data definitions, or other technical and functional documentation.
 Ability to operate effectively in an enterprise production environment with minimal ramp-up time.
 Must be authorized to work for any employer in the U.S.
 Must be able to obtain and maintain the required security clearance.

Preferred/Desired

 Experience supporting federal government customers in enterprise data warehouse, analytics, reporting, or decision-support environments.
 Experience supporting business intelligence and dashboarding solutions such as Power BI.
 Experience working closely with ETL, reporting, and application development teams in governed production environments.
 Experience contributing to ROM development, effort estimation inputs, and documentation of risks, dependencies, and alternatives.
 Experience working in environments emphasizing process maturity, repeatability, documentation, and disciplined work tracking.
 Current Public Trust or ability to obtain a Public Trust clearance quickly.