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Afternoon Data Analyst R Programming Jobs in Annapolis, MD

Data Analyst - Washington, DC

Washington, DC ยท On-site

$85K - $115K/yr

Utilize technologies including Python, R, SQL, and Tableau to analyze data and identify trends ... Apply foundational mathematical and statistical concepts, programming skills, and clear ...

S. in Mathematics, Engineering, or Computer Science Additional Information All your information will be kept confidential according to EEO guidelines.

Data Analyst

Washington, DC ยท On-site

$90 - $130/hr

As a Data Analyst, you will be working to identify internal/external databases to be connected ... Coding skills in Python, R, SQL, or other languages are a plus * Experience with statistical ...

As a Data Analyst, you will be working to identify internal/external databases to be connected ... Coding skills in Python, R, SQL, or other languages are a plus * Experience with statistical ...

As a Data Analyst, you will be working to identify internal/external databases to be connected ... Coding skills in Python, R, SQL, or other languages are a plus * Experience with statistical ...

Data Analyst

Washington, DC ยท On-site +1

As a Data Analyst, you will be working to identify internal/external databases to be connected ... Coding skills in Python, R, SQL, or other languages are a plus * Experience with statistical ...

Data Engineering and Advance Analytics Enablement team is looking for a R Analytics Cloud Engineer that will be playing a key role in helping on enabling Analytics Tools used for research community ...

Data Analyst

Washington, DC ยท On-site

$95 - $130/hr

As a Data Analyst, you will be working to identify internal/external databases to be connected ... Coding skills in Python, R, SQL, or other languages are a plus * Experience with statistical ...

Data Engineering & Automation * Deploy automation tools to extract, synthesize, validate, and ... Utilize Python, R, SQL, and other scripting and querying tools to automate data processes.

As a Data Analyst on the contract's Enterprise Architecture Team, you will collaborate closely with engineering teams, government product and process owners, and stakeholders to support engineering ...

As a Data Analyst on the contract's Enterprise Architecture Team, you will collaborate closely with engineering teams, government product and process owners, and stakeholders to support engineering ...

Ardent is seeking a Performance/Data Analyst to join our team. This is a on-site position in ... Utilize tools such as Excel, Python, and R to conduct analysis and reporting activities.

Data Engineering and Advance Analytics Enablement team is looking for a R Analytics Cloud Engineer that will be playing a key role in helping on enabling Analytics Tools used for research community ...

Data Analyst

Odenton, MD ยท On-site

$59.15 - $106.93/hr

As a Data Analyst on the contract's Enterprise Architecture Team, you will collaborate closely with engineering teams, government product and process owners, and stakeholders to support engineering ...

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Showing results 41-60

Afternoon Data Analyst R Programming information

See Annapolis, MD salary details

$33.7K

$81.8K

$134.6K

How much do afternoon data analyst r programming jobs pay per year?

As of Aug 20, 2026, the average yearly pay for afternoon data analyst r programming in Annapolis, MD is $81,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,000.00 per year, depending on experience, location, and employer.

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Annapolis, MD?

For Afternoon Data Analyst R Programming jobs in Annapolis, MD, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Annapolis, MD look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Annapolis, MD are:

What cities near Annapolis, MD are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Annapolis, MD with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Annapolis, MD as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $81,807 per year, or $39.3 per hour.

Data Analyst - Washington, DC

MSCCN

Washington, DC โ€ข On-site

$85K - $115K/yr

Full-time

Re-posted 12 days ago


Job description


PotomacWave is looking for a Data Analyst to join our team supporting a Federal client in Washington, DC. This position will support the Office of Intelligence and Counterintelligence. This role assists in the development and implementation of data analysis techniques and data visualizations to support complex analytic challenges, with a focus on improving data understanding and contributing to data-driven decision-making.
Responsibilities:
  • Process structured and unstructured datasets to support the development and operationalization of data models, analytic tools, and applications that inform decision-making.
  • Apply basic data collection, mining, and pattern recognition techniques to assist in developing actionable intelligence.
  • Work with analysts to understand data requirements and assist in creating data visualizations and reports.
  • Contribute to increasing data awareness and demonstrating the value of data analysis within the office.
  • Stay informed about technology standards, industry trends, and data analysis best practices.
  • Utilize technologies including Python, R, SQL, and Tableau to analyze data and identify trends.
  • Assist in the evaluation of training opportunities and provide basic recommendations.
  • Support the creation of clear and concise data visualizations for internal and external communication, aiding in the understanding of complex data.
  • Follow established steps to make data-driven decisions, contributing to improvements in readership, feedback, and throughput.
  • Contribute to the data science community by proposing data-driven quality projects and process improvements.
  • Collaborate with cross-functional teams to document requirements, leverage existing capabilities, and deliver products to customers.
  • Apply foundational mathematical and statistical concepts, programming skills, and clear communication to uncover insights.
  • Assist in reviewing mission needs to evaluate policy and program effectiveness.
  • Participate in enterprise-wide data science projects, learning and applying innovative approaches.
Qualifications:
  • A bachelor's degree in the following areas of discipline: computer science, information science, statistics, economics, mathematics OR a professional certificate of training directly related to data analysis or data science.
  • A minimum of three (3) years of experience in data analysis field.
  • The selection of an individual for this position may be conditioned upon their successful completion of a counterintelligence-scope polygraph examination.
  • Must be a U.S. Citizen and have an active DOE Q or Top-Secret clearance.

Salary range $85,000 - $115,000
To apply for this position, please go to: https://potomacwaveconsulting.applytojob.com/apply/QEIJTcOSxl/Data-Analyst?source=VetJobs
Equal Opportunity Employer/Race/Sex/Religion/Disability/Veteran Status/Sexual Orientation/Gender Identity/National Origin/Age.