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Afternoon Data Analyst R Programming Jobs in Burke, VA

Practical command of SQL and spreadsheets, with scripting (Python or R) where it makes the work ... What we offer A high-performing team of developers, engineers, data scientists, architects, and ...

Practical command of SQL and spreadsheets, with scripting (Python or R) where it makes the work ... What we offer A high-performing team of developers, engineers, data scientists, architects, and ...

Extensive experience in data analysis using tools such as R, SPSS, SAS, Tableau, PowerBI, and/or other similar data tools is required. * Extensive knowledge and experience in programming and ...

... or R and Microsoft Office Suite. * Establish quantitative and qualitative metrics and key ... Ability to collaborate effectively with cross-functional technical teams, including engineers, data ...

Statistician/Data Analyst

Washington, DC · On-site

$107K - $138K/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 ...

New

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Required Skills and ExperienceAssociate degree in Data Analytics, Engineering, Information Systems, or related field.4 years of relevant experience, or 3 years with a Bachelor's degree.CAP Essentials ...

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Associate degree in Data Analytics, Engineering, Information Systems, or related field. * 4 years of relevant experience, or 3 years with a Bachelor's degree. * CAP Essentials certification preferred.

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 ...

Collaborate with operational subject matter experts, data engineers, and data scientists to define ... Exposure to scripting languages (e.g., Python, R) for data wrangling and analysis. AMERICAN SYSTEMS ...

Data Analyst - Mid

Quantico, VA · On-site

$135K - $150K/yr

Collaborate with operational subject matter experts, data engineers, and data scientists to define ... Exposure to scripting languages (e.g., Python, R) for data wrangling and analysis. Pay Transparency ...

Data Analyst - Mid

Quantico, VA · On-site

$135K - $150K/yr

Collaborate with operational subject matter experts, data engineers, and data scientists to define ... Exposure to scripting languages (e.g., Python, R) for data wrangling and analysis. Pay Transparency ...

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

... 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 ...

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 ...

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

Utilize Python, R, and various database management tools (SQL, MySQL, PostgreSQL, Oracle, or MS SQL ... programming, dashboard and report creation, and visualization.Proficiency with Microsoft 365 ...

Showing results 21-40

Afternoon Data Analyst R Programming information

See Burke, VA salary details

$33.6K

$81.6K

$134.3K

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

As of Aug 17, 2026, the average yearly pay for afternoon data analyst r programming in Burke, VA is $81,580.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,800.00 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Burke, VA look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Burke, VA are:

What cities near Burke, VA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Burke, VA with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Burke, VA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $81,580 per year, or $39.2 per hour.

Data Analyst

OpenDataJobs

Washington, DC • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Peregrine Advisors is a firm founded on a simple conviction: the best solutions come from the people closest to the problem, given real ownership and the tools to deliver. We are a data and technology innovation hub and a Benefit Corporation working at the center of the federal government's mission to deliver for client stakeholders and the US public, looking for highly motivated contributors who thrive when trusted to own a hard problem and equipped to deliver the solution.

Your first assignment

Your first assignment will likely include turning a federal program's operational data into numbers people can trust by:

  • defining measures with the people who own the process, and writing down the business rules behind every number;
  • writing the SQL that turns platform data on Amazon Aurora and related Amazon Web Services (AWS) data stores into clean, reconciled analytical datasets;
  • building the recurring reports and dashboards a program actually uses, with documented measures, refresh schedules, and access controls;
  • tracing discrepancies to their source: definitions, timing, filters, and source systems, until the number is explained; or
  • replacing manual reporting with repeatable, tested workflows.

Adaptability and a demonstrated capacity to learn new concepts, systems, and tools are what keep you ahead of program needs as projects complete and priorities shift.

The work is real, hard, and it matters. It is also where you start, not the shape of your career here: we hire people, not seats, and we move our best to where the hardest problems are.

What you'll build
  • The numbers a federal program runs on, with the provenance to prove where each one came from.
  • Clean analytical datasets that reconcile source fields, business definitions, and calculation logic, so every analysis after yours starts on solid ground.
  • Dashboards, reports, and data visualizations people return to because they answer the question, load fast, and never mislead on a scale or a label.
  • The quality evidence behind the reporting: validation checks, reconciliation reports, and issue logs that hold up in an audit.
  • AI-assisted analysis as standard practice: coding assistants and language models across the lifecycle, with your judgment on top.
  • In time, the firm itself: new capabilities, tools, and lines of business you help spin up.
Who you are

You are precise with numbers and suspicious of unexplained ones: an anomaly is a thread to pull, not a footnote to add. You move easily between a stakeholder's question and the data that can answer it, and you would rather deliver one number the program can trust than ten it cannot. You communicate clearly, adapt across roles and clients, and care about creating public value. You experiment, fail, learn, and repeat quickly. You would rather own an outcome than be handed a task.

What you bring
  • Practical command of SQL and spreadsheets, with scripting (Python or R) where it makes the work faster or safer.
  • The discipline of defined measures: documented rules, reconciled sources, and reports that refresh without surprises.
  • The judgment to choose the chart that serves the reader, and the restraint to leave out the one that does not.
  • The precision to work where accuracy and auditability are not optional.
What you'll need

U.S. citizenship (this initial engagement may be staffed by U.S. citizens only) and the ability to obtain a Public Trust determination. This is a hybrid role based in the Washington, DC metropolitan area, and it requires commuting into DC regularly. Everything else, the years, the certifications, the specific tools, we ask in the application and get into during the interview.

What we offer

A high-performing team of developers, engineers, data scientists, architects, and strategists solving complex, real-world problems, with work that runs from strategy formulation to hands-on implementation. We develop people across roles and clients, with extensive onboarding and sponsored training and professional development. And Peregrine has been a Benefit Corporation from day one: public value is built into the work itself, not bolted on afterward. Work worth your best years.

What we commit to

As a Benefit Corporation, our commitment runs three ways: real, measurable value for our clients; government that works better for the public; and a team that makes everyone in it better.

We hire people who want to help build the firm, not just work at it. If that is you, apply.

Peregrine Advisors is an equal opportunity employer.

Peregrine exclusively works with OPEN Data Jobs to recruit our team. Register with OPEN Data Jobs to be considered for this opening and future roles. 

Requirements

  • 3+ years of data analysis experience
  • Bachelor's degree
  • Strong working command of SQL
  • Experience building reports and dashboards in a business intelligence tool (Power BI, Tableau, or comparable)
  • Familiarity with scripting for analysis (Python or R)
  • Ability to own an analysis from question through delivered, documented answer
  • Basic proficiency in writing, PowerPoint, and Excel
Preferred
  • Master's degree in a relevant field
  • Experience with cloud data platforms on Amazon Web Services (AWS)
  • Federal program, financial, or performance data experience
  • Familiarity with AI-assisted developer and analysis tooling

Benefits

Medical, dental, and vision with the employee premium fully paid and half of dependent premiums; employer-paid life, accidental death, and short-term and long-term disability insurance; a 401(k) matched 100% up to 4% of salary, vesting immediately; unlimited paid time off; and sponsored professional certifications and continuing education.