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Afternoon Data Analyst R Programming Jobs in Fort George G Meade, MD

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.

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 ...

Data Analyst Washington, DC | Full-time Safal Partners is seeking a Data Analyst to support a ... Knowledge of statistics and experience using statistical packages for analyzing datasets (e.g., R ...

New

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 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 ...

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

Description Senior Data Analyst Req ID 001-25 v1.0 HazeGrayCyber, LLC is focused on delivering ... Python, or R to support planning, programming, budget, and execution decisions. * Conduct ...

Required : • Bachelor?s degree in Computer Science, Engineering, Statistics, Economics ... R, Python, SAS, STATA, Matlab • TBM certification • Accounting, category management, IT ...

Experience with Python or R for data analysis. * Familiarity with nonprofit, philanthropic, or membershipbased organizations. * Experience analyzing fundraising, donor, engagement, or program impact ...

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 · 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 ...

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 ...

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 ...

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

Showing results 41-60

Afternoon Data Analyst R Programming information

See Fort George G Meade, MD salary details

$37.7K

$91.7K

$150.8K

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

As of Sep 5, 2026, the average yearly pay for afternoon data analyst r programming in Fort George G Meade, MD is $91,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,300.00 and $107,600.00 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 Fort George G Meade, MD?

For Afternoon Data Analyst R Programming jobs in Fort George G Meade, MD, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Fort George G Meade, MD look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Fort George G Meade, MD are:

What cities near Fort George G Meade, MD are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Fort George G Meade, MD with the most Afternoon Data Analyst R Programming job openings:

Performance/Data Analyst

Ardent

Washington, DC • On-site

Full-time

Re-posted 17 days ago


Key responsibilities

  • Analyze large datasets to identify trends, anomalies, and operational insights.

  • Develop dashboards, visualizations, and reporting solutions using Tableau or equivalent tools.

  • Support preparation of reports, briefings, and data-driven recommendations for leadership.


Job description

Ardent is seeking a Performance/Data Analyst to join our team.  

This is a on-site position in Washington, DC.

Position Description:

Ardent is seeking a Performance / Data Analyst to support data analysis, reporting, and operational performance initiatives within DOJ environments. This role will support analysis of large and complex datasets, development of dashboards and reporting solutions, and delivery of analytical insights supporting law enforcement and interagency operations. The position may support projects involving sensitive law enforcement and intelligence community information requiring elevated security access.

Responsibilities and Duties:

  • Analyze large datasets to identify trends, anomalies, and operational insights.
  • Develop dashboards, visualizations, and reporting solutions using Tableau or equivalent tools.
  • Support data analysis efforts related to law enforcement, operational, or statistical datasets.
  • Perform data cleansing, validation, and transformation activities to support analytics initiatives.
  • Utilize tools such as Excel, Python, and R to conduct analysis and reporting activities.
  • Collaborate with stakeholders to support performance measurement and operational reporting requirements.
  • Support preparation of reports, briefings, and data-driven recommendations for leadership.
  • Assist with maintaining data accuracy, integrity, and consistency across reporting efforts.
  • Support analytical initiatives across both operational and strategic projects.
  • Ensure compliance with DOJ security and data handling requirements.

Requirements:

  • Bachelor's degree in Data Science, Computer Science, Statistics, or related field.
  • Minimum of 3 years of experience in data analytics, data science, or performance analysis roles.
  • Proficiency with Excel, Python, R, and Tableau or equivalent analytics and visualization platforms.
  • Experience working with large datasets and data analysis methodologies.
  • Experience supporting law enforcement, government, or large statistical datasets.
  • Active Secret clearance required.
  • Ability to obtain and maintain eligibility for Top Secret clearance for select projects, if required.
  • Strong analytical, organizational, and communication skills.

Preferred Qualifications:

  • Experience supporting DOJ, law enforcement, intelligence community, or federal environments.
  • Experience developing executive-level dashboards and operational reporting solutions.
  • Familiarity with data visualization, predictive analytics, or statistical modeling techniques.
  • Experience working with sensitive or classified information environments.
  • Familiarity with data governance and secure data handling procedures.

Due to the nature of the work we support, all candidates in consideration for this role must be willing to undergo the government issued background investigation process. We highly encourage all Veterans and those with disabilities to apply.


Ardent is an equal opportunity employer. We will not discriminate in employment, recruitment, advertisements for employment, compensation, termination, upgrading, promotions, and other conditions of employment against any employee or job applicant on the bases of race, color, gender, national origin, age, religion, creed, disability, veteran's status, sexual orientation, gender identity, gender expression, or any other basis protected by state, local, or federal law.