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Entry Level R Programming Jobs in Washington, DC

MANTECH

Associate BI Analytics Engineer

Herndon, VA

As an entry-level position, you will work closely with senior engineers and stakeholders to deliver ... Basic knowledge of Python or R for data analysis. * Exposure to cloud data platforms such as ...

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Entry Level R Programming information

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$16

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$89

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

As of Aug 16, 2026, the average hourly pay for entry level r programming in Washington, DC is $30.27, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $26.15 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in entry level R programming?

To thrive as an Entry Level R Programming professional, you should have a solid understanding of R programming fundamentals, data manipulation, and basic statistical analysis, often supported by a relevant degree in statistics, computer science, or a related field. Familiarity with tools such as RStudio, version control systems like Git, and data visualization packages (e.g., ggplot2) is commonly required; certifications in data analysis or R can be advantageous. Attention to detail, problem-solving abilities, and effective communication skills help you work efficiently within a collaborative team environment. These competencies are crucial to accurately analyze data, provide actionable insights, and contribute effectively to projects from the outset.

Are entry level R programming in demand?

Entry level R programming positions are in demand in data analysis, research, and statistical roles across various industries. Employers seek candidates with basic knowledge of R, data manipulation, and visualization skills, often requiring familiarity with tools like RStudio. The demand is driven by the increasing reliance on data-driven decision making and analytics.

What is an entry level R programming?

An Entry Level R Programming job is a position designed for beginners who use R for data analysis, statistical computing, and visualization. These roles are typically found in industries like finance, healthcare, and tech, where data-driven decision-making is crucial. Responsibilities may include cleaning datasets, writing basic R scripts, and generating reports or visualizations. Employers usually seek candidates with a degree in statistics, data science, or a related field, along with foundational knowledge of R and data manipulation libraries like dplyr and ggplot2.

What types of projects do entry-level R programmers typically work on?

Entry-level R Programmers are often involved in supporting data analysis projects such as cleaning datasets, creating visualizations, building simple statistical models, and preparing reports for stakeholders. They commonly assist senior analysts or data scientists by conducting exploratory data analysis, automating repetitive data tasks, or updating existing R scripts. While responsibilities can vary by industry, close collaboration with team members and learning from more experienced colleagues are standard aspects of the role. This hands-on exposure provides an excellent foundation for developing deeper technical skills and advancing to more complex projects over time.

What are the most commonly searched types of R Programming jobs in Washington, DC?

The most popular types of R Programming jobs in Washington, DC are:

What are popular job titles related to Entry Level R Programming jobs in Washington, DC?

For Entry Level R Programming jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Entry Level R Programming jobs in Washington, DC look for?

The top searched job categories for Entry Level R Programming jobs in Washington, DC are:

Entry Level R Programming jobs near you
Infographic showing various Entry Level R Programming job openings in Washington, DC as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 13% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $62,966 per year, or $30.3 per hour.

Associate BI Analytics Engineer

MANTECH

Herndon, VA

Full-time

Posted 2 days ago

New

ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 244 rated software companies

Job description

hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role.

MANTECH seeks an enthusiastic, detail-oriented Associate BI Analytics Engineer to join our Enterprise Data Analytics team in Herndon, VA. This is a hybrid position, requiring on site presence at least 2 days a week.

This role supports the build and maintenance of the data foundation that drives strategic decision-making across the enterprise. As an entry-level position, you will work closely with senior engineers and stakeholders to deliver high-quality analytical solutions while growing your skills in business intelligence, data modeling, and modern data engineering pipelines.

Responsibilities to include but not limited to:

  • Create, customize, and maintain visually compelling, intuitive, and high-performing Power BI dashboards and reports for internal stakeholders.

  • Assist in building and optimizing robust semantic models within Power BI using Star Schema design principles and basic DAX.

  • Support the team in maintaining, monitoring, and troubleshooting automated data engineering pipelines to ensure data accuracy and availability.

  • Validate data continuity and accuracy between source systems and reporting layers.

  • Work with business analysts and end-users to understand reporting requirements and document data definitions.

  • Collaborate with team members to translate technical data concepts into clear insights for non-technical stakeholders.

  • Participate in mentorship opportunities and continuously improve technical workflows within the team.

Minimum Qualifications:

  • High School Diploma/GED with 3+ years of experience, or a bachelor’s degree in computer science, Data Analytics, Information Systems, Mathematics, Economics, or a related field with 0-2 years of experience.

  • Experience creating reports, using Power Query, and understanding basic DAX functions within Power BI.

  • Solid understanding of relational databases and the ability to write clean SQL queries to extract and manipulate data.

  • Basic understanding of data warehousing concepts, dimensional modeling, and ETL/ELT processes.

  • Strong problem-solving skills with an analytical mindset and a keen eye for data trends or anomalies.

Preferred Qualifications:

  • Basic knowledge of Python or R for data analysis.

  • Exposure to cloud data platforms such as Microsoft Fabric or Databricks.

  • Familiarity with version control tools like Git.

  • Strong design sensibility regarding UI/UX layout, color theory, and data visualization best practices.

Clearance Requirements:

  • US Citizenship

Physical Requirements:

  • Must be able to remain in a stationary position 50% of the time.

  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.

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