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Self Employed Data Analyst R Programming Jobs in Washington

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 ...

... 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 ...

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 ...

Data Analyst

Washington, DC · On-site

$80 - $90/hr

A data analyst will be involved in every part of a research project, from organizing and designing ... Extensive experience in one or more programming languages (Python, SQL, R, or MATLAB preferred)

New

Data Engineering and Advance Analytics Enablement team is looking for a R Analytics Cloud Engineer ... Self-motivation, adaptability, and the ability to meet aggressive deadlines. * Ability to ...

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 ...

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 ...

Data Analyst

Arlington, VA · On-site

$62 - $141/hr

... R and Microsoft Office Suite. Establish quantitative and qualitative metrics and key performance ... including engineers, data analysts, and developers Possession of strong analytical, critical ...

New

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 ...

Data Engineering and Advance Analytics Enablement team is looking for a R Analytics Cloud Engineer ... Strong teamwork, planning, and coordination skills Self-motivation, adaptability, and the ability ...

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

$110.80 - $185.10/hr

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 ...

New

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

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 ...

Showing results 41-60

Self Employed Data Analyst R Programming information

Are R programmers in demand?

R programmers, including self-employed data analysts skilled in R programming, are in demand due to the growing need for data analysis and statistical modeling across industries. Proficiency in R, along with skills in data visualization and machine learning, increases job opportunities in analytics, research, and consulting roles.

Can a self employed data analyst R programming be self-employed?

A self-employed data analyst skilled in R programming can work independently, offering services such as data analysis, visualization, and reporting to clients. Being self-employed requires managing your own schedule, acquiring clients, and possibly obtaining relevant certifications or a portfolio to demonstrate expertise.

Do data analysts use R programming?

Data analysts often use R programming as it provides powerful tools for data manipulation, statistical analysis, and visualization. R is widely adopted in the field for its extensive package ecosystem and open-source nature, making it a valuable skill for data analysis roles.

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:

Data Analyst

OpenDataJobs

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 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.