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Afternoon Data Analyst R Programming Jobs in Washington

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site

$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 ...

Kanak Elite Services Inc

Data Analyst

Washington, DC · On-site

Role: DATA ANALYST Location: DC (Onsite) (need locals or candidates from DMV area) Client is ... Demonstrate programming language proficiency (R or Stata preferred), knowledge of database ...

Cortek Inc

Data Analyst II

Falls Church, VA

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 ...

Cortek Inc

Data Analyst II

Falls Church, VA · On-site

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 ...

ECS

Senior Data Analyst (Part-Time)

Arlington, VA · On-site

$73.76 - $76.17/hr

Write programming codes, such as DAX and data Mash-up(M) for data manipulation, sorting ... In-depth knowledge of scripted languages such as SQL, Python, R, and Java Scripts and the proven ...

Capital One

Principal Data Analyst

Mclean, VA · On-site

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong ...

GRVTY

Data Analyst - Mid

Falls Church, VA · On-site

GRVTY is seeking a motivated and experienced Data Analyst to support the maintenance of data ... with programming languages and tools including: Python, R, SQL, GIS, Tableau • Experience ...

Capital One

Principal Data Analyst

Mclean, VA · On-site

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong ...

Ocean Bay LLC

Data Analyst (5615)

Indian Head, MD · On-site

Analyze, integrate, and test software/data systems; script using Python/R; support analytics ... Developer (HCAHD) (Hortonworks)/Certified Information System Security Professional (CISSP ...

Capital One

Principal Data Analyst

Mclean, VA · On-site

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong ...

GRVTY

Data Analyst - Mid

Falls Church, VA · On-site

What Impact You'll Have GRVTY is seeking a motivated and experienced Data Analyst to support the ... Experience with programming languages and tools including: * Python * R * SQL * GIS * Tableau

Leidos

Journeyman Data Analyst

Bethesda, MD · On-site

$73K - $132K/yr

... R, SQL, VBA. * Proficiency in visualizing and presenting data using platforms such as Tableau, Power BI, or equivalent * Requires demonstrated ability with data analysis, data engineering, and data ...

Capital One

Principal Data Analyst

Mclean, VA

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong ...

Leidos

Journeyman Data Analyst

Bethesda, MD · On-site

$73K - $132K/yr

... R, SQL, VBA. * Proficiency in visualizing and presenting data using platforms such as Tableau, Power BI, or equivalent * Requires demonstrated ability with data analysis, data engineering, and data ...

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Afternoon Data Analyst R Programming information

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 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 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 the most commonly searched types of Data Analyst R Programming jobs in Washington? The most popular types of Data Analyst R Programming jobs in Washington are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Washington? For Afternoon Data Analyst R Programming jobs in Washington, the most frequently searched job titles are:
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Afternoon Data Analyst R Programming jobs near you

Scientific Data Analyst

IMAGINEEER LLC

Arlington, VA • On-site

$110K - $115K/yr

Full-time

Medical, Retirement, PTO

Re-posted 29 days ago

Job description

Benefits:
  • 401(k) matching
  • Competitive salary
  • Health insurance
  • Paid time off

About this Role:
In this role, you will provide computational, data science, and bioinformatics support for Office of Research Innovation, Validation, and Applications (ORIVA) research validation and application programs across D-NICEATM and DAIBR.
You will develop and maintain NIH databases, build analytical tools, support computational modeling, and deliver data-driven insights to a multidisciplinary team advancing human-centered biomedical research. This role sits at the intersection of data science, regulatory science, and biomedical research.
Key Responsibilities:
  1. Develop and execute analytical workflows to process, analyze, and interpret large-scale biomedical datasets
  2. Apply computational and bioinformatics methods in support of New Approach Methodologies (NAMs) related research objectives
  3. Maintain and enhance NIH databases and tools through data curation, integration, and interoperability support
  4. Build and maintain data pipelines and analytical tools using Python, R, or equivalent languages
  5. Develop and update user support materials, websites, and training resources
  6. Ensure all published materials meet 508-compliance standards
  7. Present complex analytical results clearly to scientific and non-technical audiences
  8. Support data validation, cleansing, and governance per NIH data quality standards

Qualifications and Skills:
  1. PhD in bioinformatics, mathematics, statistics, computer science, data science, or related field with 4+ years of relevant experience OR Master's degree in an equivalent field with 4 years of additional experience
  2. Proficiency in at least two programming languages: Python, R, Perl, or equivalent
  3. Experience with bioinformatics tools, databases, and high-throughput data analysis
  4. Experience managing and integrating large biomedical or genomic datasets
  5. Strong background in statistical analysis, data modeling, and computational methods
  6. U.S. citizenship required; ability to obtain Public Trust clearance

Desired Skills and Competencies:
  1. Expertise in NAMs or computational toxicology
  2. Experience with NIH scientific databases and platforms
  3. Familiarity with in silico modeling, Adverse Outcome Pathway (AOP) frameworks, or ICCVAM/OECD validation standards
  4. Prior NIH and/or HHS contractor experience
  5. Experience with cloud platforms or HPC environments
  6. Peer-reviewed publications in a related field

Equal Opportunity Employer:
We are an Equal Opportunity Employer and do not discriminate in employment decisions on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local laws. All employment decisions are based on business needs, job requirements, and individual qualifications.

Flexible work from home options available.