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Afternoon Data Analyst R Programming Jobs in Leesburg, VA

It's an analytical role embedded in the R&D team at an ARPA-E-backed climate-materials company: you ... A BS in a quantitative or scientific field -- statistics, data science, engineering, physics ...

Possess knowledge and experience with data analysis and data technical expertise in data management, engineering, and science * Proven proficiency in Python, R, and SQL * Hands-on experience with ...

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

Data Analyst

Reston, VA ยท On-site

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

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 ...

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 ...

Senior Data Analyst

Mclean, VA

$86K - $109K/yr

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

Senior Data Analyst

Mclean, VA ยท On-site

$86K - $109K/yr

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

Sr Data Analyst

Reston, VA ยท On-site

$89K - $112K/yr

Proficiency in SQL, Excel, Python, R, and data visualization tools like Tableau or Power BI ... Willingness to adopt new tools, programming languages, and Big Data techniques. * Knowledge of ...

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

Sr Data Analyst

Reston, VA ยท Hybrid

$89K - $112K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm ... Highly proficiency in SQL and programming languages (Python/R/VBA) or other relevant programming ...

New

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

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

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

HR Data Analyst (Contract)

Herndon, VA ยท Hybrid

$36 - $40/hr

Write and execute data queries using SQL, Python, or other data analysis programming languages ... Python, MATLAB, R, Tableau, Alteryx, Excel, or SAS. * Familiarity with structured, semi-structured ...

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Afternoon Data Analyst R Programming information

See Leesburg, VA salary details

$34.4K

$83.6K

$137.6K

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

As of Aug 8, 2026, the average yearly pay for afternoon data analyst r programming in Leesburg, VA is $83,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $98,100.00 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 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?

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 job categories do people searching Afternoon Data Analyst R Programming jobs in Leesburg, VA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Leesburg, VA are:
What cities near Leesburg, VA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Leesburg, VA with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Leesburg, VA as of July 2026, with employment types broken down into 1% As Needed, 57% Full Time, 33% Part Time, 1% Temporary, 2% Contract, and 6% Nights. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $83,588 per year, or $40.2 per hour.

R & D Data Analyst

Inventwood

Frederick, MD โ€ข On-site

Full-time

Posted 18 days ago


Job description

General Summary / Position Purpose

The R&D Data Analyst turns the data behind SUPERWOOD — a molecularly densified wood material — into the insights that drive our research forward. It's an analytical role embedded in the R&D team at an ARPA-E-backed climate-materials company: you'll analyze experimental data, build and apply models for processes like chemical infusion and thermal behavior, and work alongside the scientists generating the data — in the lab, not just behind a screen.

This is InventWood's first dedicated data role. The majority of your time will be spent on analysis — regression, process modeling, and helping the research team draw real value from the data they produce — with the balance spent in the lab, learning our materials and processes firsthand. Along the way you'll help establish how we capture, structure, and use experimental data as the company grows. We're looking for someone rigorous and curious who wants to help build a data practice from the ground up in a high-intensity, build-the-company environment.

Job Duties and Responsibilities
  • Analyzes experimental datasets — builds and maintains regression models, comfortable with modelling mathematical equations, and clearly documents assumptions, methods, and limitations so results are reproducible and defensible.
  • Turns analysis into decisions — synthesizes findings into clear summaries, visualizations, and recommendations the research team can act on, and presents them in team discussions.
  • Works in the lab — spends regular time on the floor observing and assisting with experiments to understand firsthand how data is generated. This is not a heavy-machinery role, but comfort in a lab and manufacturing environment is essential.
  • Improves how data is captured — helps standardize experiment logging, builds templates and lightweight workflows, and flags data-quality issues early, before they compromise a result.
  • Contributes to study design — brings a data perspective to research planning conversations: identifying gaps in existing datasets, proposing follow-up experiments the data suggests, and helping the team narrow parameter spaces before physical testing.
  • Builds the data practice — as InventWood's first dedicated data hire, documents workflows and conventions so the practice scales cleanly as the team grows.
  • Follows all safety policies, standards, and regulations; upholds and promotes company Core Values and culture; takes on special projects as directed by your manager; and maintains strict confidentiality.
Minimum Knowledge, Skills, and Abilities Required
  • A BS in a quantitative or scientific field — statistics, data science, engineering, physics, chemistry, materials science, or related — and 3 – 5 years work experience in a related field.
  • Strong working proficiency in Python for data analysis (e.g., pandas, SciPy, Jupyter, matplotlib/Plotly or similar).
  • A solid grounding in regression analysis and applied statistics from a data analyst's perspective — understanding model fit, uncertainty, and when a conclusion is (and isn't) supported by the data. This is a requirement.
  • Experience or demonstrated aptitude modeling physical processes is a strong plus.
  • A materials science background is a plus, not a requirement — but genuine curiosity about the science is. You'll be expected to learn our materials and processes well enough to ask good questions.
  • Comfortable working in a lab environment and spending meaningful time alongside the research team, not just downstream of it.
  • A builder's mindset — comfortable with ambiguity, energized by establishing systems and conventions where none exist yet, and willing to do the unglamorous work (documentation, data hygiene, templates) that makes everything else possible.
  • Communicates clearly in writing and in person; documents work so someone else can follow it.
  • Team-oriented — brings energy, gets excited about building the company, and lifts the team. Detail-oriented, with strong emotional intelligence and humility.
  • Fluent in English; able to work onsite 5 days a week in Frederick, MD.
Physical Demands
  • Must be able to occasionally lift up to 25 pounds (samples, equipment).
  • Must be able to be fitted for, and wear, appropriate personal protective equipment when in lab and production areas.