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Afternoon Data Analyst R Programming Jobs in Silver Spring, MD

Implementation Engineers are responsible for leveraging quantitative skills to configure Govini ... Intermediate familiarity/skills with SQL, Python, and R * 2-6 years of relevant experience ...

ANOVA) using statistical software applications such as R and SPSS * Work with Senior Database ... Data analysis, involved in both primary and secondary research using data to arrive at decision ...

Statistician/Data Analyst

Washington, DC · On-site +1

$107.74K - $143.75K/yr

Data Science and Data Engineering Job Qualifications: Skills: Analytics, Data Analytics, Data ... Python and/or R. * Tableau. * Palantir. * Data entry. Additional Requirements: * This position ...

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

Gaithersburg, MD · On-site

$26.44/hr

Data Analyst Supervisory Responsibilities: None Budget Responsibilities: None Reports To ... Intermediate to proficiency in programming languages such as SPSS, R, Python, STATA, or Sequel.

Experience with programming languages such as Python, R, or SQL . * Experience with data analysis and visualization tools (e.g., Pandas, Tableau, Power BI, or similar). * Experience analyzing ...

Experience with programming languages such as Python, R, or SQL . * Experience with data analysis and visualization tools (e.g., Pandas, Tableau, Power BI, or similar). * Experience analyzing ...

SIMILAR CAREER TITLES Business Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing ... Knowledge of Python or R * Familiarity with machine learning * Understanding of ETL processes

SIMILAR CAREER TITLES Business Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing ... Knowledge of Python or R * Familiarity with machine learning * Understanding of ETL processes

Experience with programming languages such as Python, R, or SQL . * Experience with data analysis and visualization tools (e.g., Pandas, Tableau, Power BI, or similar). * Experience analyzing ...

SIMILAR CAREER TITLESBusiness Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing ... Knowledge of Python or R * Familiarity with machine learning * Understanding of ETL processes

Utilize Python, R, and various database management tools (SQL, MySQL, PostgreSQL, Oracle, or MS SQL ... analysis, programming, dashboard and report creation, and visualization. * Proficiency with ...

SIMILAR CAREER TITLESBusiness Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing ... Knowledge of Python or R * Familiarity with machine learning * Understanding of ETL processes

SIMILAR CAREER TITLESBusiness Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing ... Knowledge of Python or R * Familiarity with machine learning * Understanding of ETL processes

SIMILAR CAREER TITLESBusiness Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing ... Knowledge of Python or R * Familiarity with machine learning * Understanding of ETL processes

Utilize Python, R, and various database management tools (SQL, MySQL, PostgreSQL, Oracle, or MS SQL ... analysis, programming, dashboard and report creation, and visualization. * Proficiency with ...

Scientific Data Analyst

Arlington, VA · On-site +1

$110K - $115K/yr

Proficiency in at least two programming languages: Python, R, Perl, or equivalent * Experience with bioinformatics tools, databases, and high-throughput data analysis * Experience managing and ...

Data Analyst

Washington, DC · On-site

$100K - $150K/yr

Bachelor's degree in data science, statistics, computer science, engineering, economics ... Working proficiency in R for statistical analysis. * Experience with open-source intelligence ...

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Afternoon Data Analyst R Programming information

See Silver Spring, MD salary details

$35.1K

$85.4K

$140.6K

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

As of May 29, 2026, the average yearly pay for afternoon data analyst r programming in Silver Spring, MD is $85,431.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $100,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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 Silver Spring, MD? For Afternoon Data Analyst R Programming jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Silver Spring, MD look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Afternoon Data Analyst R Programming jobs? Cities near Silver Spring, MD with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Silver Spring, MD as of May 2026, with employment types broken down into 78% Full Time, 14% Part Time, 5% Contract, and 3% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $85,431 per year, or $41.1 per hour.
Data Analyst

Other

Posted 20 days ago


Job description

Company Description
Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.
Job Description
Govini is looking for motivated, curious, and data-driven individuals to join our team as Implementation Engineers.  Implementation Engineers at Govini have a quantitative mindset and firm understanding of how to use technology and data to solve hard customer problems. Implementation Engineers are responsible for leveraging quantitative skills to configure Govini's technology to achieve customer outcomes, communicate data-driven insights to executives in the national security community, and produce compelling program insights, data visualization, and briefings. 
 
In order to do this job well, you must be analytical, understand people, have a strong drive to use technology to solve the hardest problems, and want to learn everything, particularly about the most pressing national security challenges confronting the nation and how data and machine learning can help address them. 
 
You're eager to build a deep understanding of US Government and Defense acquisition processes and the importance of effective and efficient program management, supply chain risk management, and program and technology modernization. You ask hard, uncomfortable questions. You know there are always multiple answers to hard problems, and you know how to engage in a constructive dialogue to find the best path forward.
 
This role is a full-time position located out of our office in Arlington, VA.
This role requires 60% travel to client sites across the United States - CONUS and OCONUS
Scope of Responsibilities
  • Develop expertise in Govini's clients, offerings, and data, and support customers as a Govini product and data expert
  • Execute the successful implementation of software and data to Govini's customers and provide platform training
  • Use coding languages (SQL, Python) to conduct technical platform configuration and data integration, or be able to quickly learn and implement these skills
  • Collaborate with Govini Engagement Managers and Product Managers to capture market demand and user needs for inclusion into Govini's offerings
  • Proactively drive utilization of the product using targeted training and engagement strategies that drive mission outcomes and analytical insights for platform users
  • Develop and maintain documentation, such as tailored user guide reference materials
  • Conduct research and develop quantitative analytic reports using Govini technology and data 
  • Orally and visually present data-driven findings concisely and compellingly to internal teams, as well as government officials
  • Demonstrate knowledge in areas such as US Government programs and operations, federal acquisitions and program management, government procurement practices, supplier assurance, federal contracting, Planning, Programming, Budgeting, and Execution (PPBE), Supply Chain Risk Management, and Open Source Intelligence (OSINT) analysis
Depending on your background and expertise, you could also be responsible for:
  • Support the success of Govini's clients via end-user training and user support
  • Provide technical workflow development and configuration
  • Communicate data-driven insights to executives in the national security space
  • Conduct in-depth quantitative and qualitative analyses on problems of importance to U.S. national security community using data visualization, compelling written paper and briefings
  • Provide product demonstrations in support of sales pursuits efforts
Qualifications
  • U.S. Citizenship is required
  • Bachelor's Degree in  Business Administration, Business Analytics, Economics, Mathematics, Computer Science, Data Science, International Relations, Political Science, International Security or similar fields, or 1-4 years of equivalent experience
Required Skills: 
  • Intermediate familiarity/skills with SQL, Python, and R
  • 2-6 years of relevant experience,  including undergraduate or graduate roles  or internships, performing national security-related analytics; preference for research, quantitative analysis, data manipulation, and data visualization skills
  • Excellent professional demeanor with a willingness to work outside of your comfort zone in a fast-paced environment without hesitation
  • Strong aptitude for solving open-ended issues in unpredictable, unstructured environments
  • Outstanding listening, verbal, and written communication skills
  • Ability to manage multiple work-streams and projects, learn quickly, and work independently with little supervision
Desired Skills: 
  • Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
  • Experience in or exposure to the nuances of a startup or other entrepreneurial environment
  • 1+ years of relevant experience in user support or user engagement with a focus on platform and product utilization
  • Knowledge of defense acquisition life cycle and program management, technology scouting, and supply chain risk management
  • Knowledge of  languages/applications, such as React, Typescript, Java, C, GoLang,  or the ability to quickly learn these skills
  • Experience  within advisory services, software-as-a-service (SaaS), information services, analytic tools, or data analytics industries
  • Demonstrated ability to conduct relevant business case studies and market analysis using internal and open-source data sources
  • History of engaging with and presenting to federal Government stakeholders
We firmly believe that past performance is the best indicator of future performance.  If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you.
 
Govini is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.