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Afternoon Data Analyst R Programming Jobs in Annapolis, MD

Na Oiwi Kane

Data Analyst

Washington, DC · On-site

Experience or working knowledge of data engineering principles, data science methodologies, and process automation and optimization techniques * Proven ability to analyze complex datasets and ...

US Federal Solutions

Data Analyst

Washington, DC · On-site

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 ...

USM

Data Analyst

Washington, DC · On-site

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

US Federal Solutions

Data Analyst

Washington, DC · 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 ...

InterSources Inc

ETEP Data Analyst

Washington, DC · On-site

Required : • Must have at least 10 years overall Data Analyst experience. • Familiarity with educational data and policies is required. • Knowledge and expertise with R. • Knowledge and ...

US Federal Solutions

Data Analyst

Washington, DC · On-site

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

Leidos

Data Analyst

Odenton, MD · On-site

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 ...

Leidos

Data Analyst

Odenton, MD · On-site

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 ...

COMFORT SYSTEMS

Data Analyst

Odenton, MD · On-site

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 ...

Amivero

Data Analyst II

Washington, DC · On-site

$94K - $100K/yr

... programming languages such as R and Python are not required. * Lead and perform data-driven studies ... Collect, analyze, and visualize data to identify trends, relationships, performance drivers, and ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Annapolis, MD

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 Sep 11, 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:

Afternoon Data Analyst R Programming jobs near you
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 • On-site

Galapagos Federal Systems LLC.
IT Services • 51 - 200 employees
Learn more about Galapagos Federal Systems LLC.external

$115K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

Job description

Overview
Job Summary
Galapagos Federal Systems LLC is looking for an enthusiastic, well-qualified individual to fill the Data Analyst position. This role offers the opportunity to work with a diverse and talented group of individuals committed to driving success.
The ideal candidate is responsible for collecting, analyzing, and managing system and project data to support Tech Refresh operations, data-driven decision-making, and process improvement initiatives.
The Data Analyst provides actionable insights, automation recommendations, and project status reporting to support current and future growth. This position plays a key role in ensuring Tech Refresh schedules, asset execution, and implementation activities are supported by accurate, timely, and well-structured data.
Key Responsibilities
The Data Analyst will:
  • Support Tech Refresh data analysis activities across DIA systems and sites within contract scope
  • Collect, analyze, and maintain system, asset, and project data related to Tech Refresh operations
  • Provide process improvement and automation recommendations to enhance Tech Refresh execution and data management
  • Develop and maintain project data, dashboards, reports, and status updates to track schedule, implementation, and asset execution
  • Prepare and define data requirements supporting Tech Refresh utilization, planning, and execution
  • Analyze trends and performance metrics to support project success and future enterprise growth
  • Ensure data accuracy, integrity, and consistency across reporting artifacts
  • Collaborate with technical, operational, and leadership teams to translate requirements into data-driven solutions
  • Support planning and scalability efforts for future DIA and Defense Intelligence Enterprise sites
  • Document data sources, methodologies, and analytical processes

Requirements
Skills and Experience
The Data Analyst must have:
  • Active Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance
  • 10+ years of relevant experience in data analytics, data management, data engineering, or related disciplines supporting DoD, Intelligence Community, or Federal programs
  • Demonstrated experience collecting, acquiring, extracting, integrating, inspecting, cleansing, validating, and managing data from multiple structured and unstructured sources
  • Strong knowledge of data analysis, data management principles, and data lifecycle processes
  • Experience or working knowledge of data engineering principles, data science methodologies, and process automation and optimization techniques
  • Proven ability to analyze complex datasets and translate findings into actionable insights for both technical and non-technical stakeholders
  • Experience supporting Department of Defense (DoD) or Intelligence Community (IC) programs
  • Familiarity with enterprise IT modernization, technology refresh (Tech Refresh), or digital transformation initiatives
  • Strong attention to detail with the ability to manage multiple data sources, priorities, and deliverables in a dynamic environment

Education and Certifications
The Data Analyst must meet the following:
Required
  • Bachelor's degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Information Systems, or a related discipline
  • Relevant experience may be substituted in lieu of a degree

Preferred
  • CompTIA Security+ CE
  • CompTIA Data+
  • Certified Data Analyst (vendor-neutral or platform-specific)
  • Microsoft, AWS, or other analytics-related certifications

Benefits
  • Medical, dental, vision, disability, and life insurance
  • Flexible Spending Accounts
  • 401(k)
  • PTO
  • Paid Parental Leave
  • Tuition reimbursement
  • Paid federal holidays

Security Clearance
Must be a U.S. Citizen. A high-level Department of Defense active security clearance is/may be required. Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to government information.
Physical Requirements
Work may involve sitting or standing for extended periods of time and typing and reading from a computer screen. The candidate must have enough mobility, including bending, reaching, and kneeling, to complete daily duties in a prompt and efficient manner, and that may include lifting up to thirty pounds, as necessary.
Company Summary
Headquartered in Hawaii, Galapagos Federal Systems, LLC, is an SBA-Certified NHO-owned 8(a) Small Business specializing in global information technology solutions. We deliver professional services in IT Design & Installation, Cybersecurity Engineering & Support, Application Integration & Development, Software & Hardware Engineering, Network & Systems Management, Information Systems Security, and Business Management Services.
Leveraging over 30 years of providing IT services to the federal & commercial market with projects found around the world, our team has innovative expertise in the development of a wide range of technological solutions. Galapagos Federal Systems, LLC is an equal opportunity employer.
Our service commitment is simple - "Quality IT Solutions... On Time & On Budget."
Company Employment Statement
Galapagos Federal Systems, LLC reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing as positions, functions, and qualifications may vary depending on business needs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Galapagos Federal Systems, LLC is an equal opportunity employer and does not discriminate against applicants based on race, color, creed, religion, medical condition, legally protected genetic information, national origin, sex (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity and expression, age, disability, or Vietnam era, or other eligible veteran status or legally protected characteristics.
Posted Salary Range
USD $115,000.00 - USD $125,000.00 /Yr.

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