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Remote Entry Level Quantitative Researcher Jobs in Washington, DC

Consulting Associate

Washington, DC ยท On-site +1

$90K/yr

Washington, DC (Hybrid, mostly remote; candidates should be based near DC) * Engagement: Full-time, ... This is a consulting role, not a research or policy position. You'll move fast, adapt often, and ...

Junior Data Analyst

Arlington, VA ยท On-site +1

$50K - $75K/yr

... quantitative research, complex analytics using Microsoft Excel and other analytical techniques. The ... Flexible Work Options - Remote work allowed, flexible schedules, and telework opportunities ...

Junior Data Analyst

Arlington, VA ยท On-site +1

$50K - $75K/yr

... quantitative research, complex analytics using Microsoft Excel and other analytical techniques. The ... Flexible Work Options - Remote work allowed, flexible schedules, and telework opportunities ...

Consultant, Climate Risk

Arlington, VA ยท On-site +1

$69K - $100K/yr

This position is eligible for remote work. Applicants must be currently authorized to work in the ... Conducting research, client interviews, and data analytics to assess opportunities to achieve ...

... and quantitative datasets (including project boundaries and remote sensing data). * Conduct ... Conduct research on emerging forest carbon opportunities and share technical insights with internal ...

Data Entry Associate

Washington, DC ยท Remote

$18 - $23.50/hr

About the job Data Entry Associate We are Remote Career, a start-up business headquartered in the ... The work is mostly data entry and will involve research and putting data into our spreadsheet.

Data Entry Associate

Washington, DC ยท Remote

$18 - $23.50/hr

About the job Data Entry Associate We are Remote Career, a start-up business headquartered in the ... The work is mostly data entry and will involve research and putting data into our spreadsheet.

Public Health Analyst

Vienna, VA ยท On-site +1

$57K - $60K/yr

This is a remote role but proximity to the Atlanta area is desired. Key Responsibilities ... Experience supporting research reports, presentations, or manuscripts. * Detail oriented and able ...

Showing results 21-40

Remote Entry Level Quantitative Researcher information

See Washington, DC salary details

$59.5K

$135K

$222.6K

How much do remote entry level quantitative researcher jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote entry level quantitative researcher in Washington, DC is $134,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,900.00 and $172,700.00 per year, depending on experience, location, and employer.

What is a remote entry level quantitative researcher?

A Remote Entry Level Quantitative Researcher is a professional who analyzes numerical data, develops statistical models, and helps solve complex problems for a company or organization while working from a remote location. This role typically involves tasks such as data collection, statistical analysis, and supporting research projects under the supervision of senior researchers. Entry level positions are designed for recent graduates or those new to the field, providing training and mentorship to build foundational quantitative skills. Working remotely allows for flexible location and often involves collaborating with teams through digital communication tools.

What are the key skills and qualifications needed to thrive as a remote entry level quantitative researcher?

To thrive as a Remote Entry Level Quantitative Researcher, you need strong analytical skills, a solid foundation in statistics or mathematics, and at least a bachelor's degree in a quantitative field such as mathematics, statistics, computer science, or economics. Familiarity with programming languages like Python or R, data analysis tools, and statistical software (e.g., MATLAB, SAS, or Stata) is typically required. Critical thinking, attention to detail, and effective remote communication are important soft skills for collaborating with teams and presenting research findings. These skills ensure accurate data analysis and effective problem-solving, which are vital for generating actionable insights in a remote research environment.

What are some common challenges faced by remote entry level quantitative researchers, and how can they be overcome?

Remote entry level quantitative researchers often encounter challenges such as limited access to immediate mentorship, difficulties in collaborating on complex data-driven tasks, and the need for effective self-management. To overcome these, it's helpful to proactively schedule regular check-ins with more experienced team members, utilize collaborative tools for data analysis, and maintain clear documentation of your work. Embracing open communication and seeking feedback can also help bridge the gap created by physical distance, ensuring both professional growth and successful project outcomes.

What is the difference between Remote Entry Level Quantitative Researcher vs Remote Data Analyst?

AspectRemote Entry Level Quantitative ResearcherRemote Data Analyst
Required CredentialsBachelor's in Math, Statistics, or related field; some roles may prefer internshipsBachelor's in Data Science, Statistics, or related field; certifications like SQL or Excel often preferred
Work EnvironmentResearch-focused, often in finance, tech, or consulting firms; collaborative teamsData-focused, in various industries including finance, healthcare, and marketing; often cross-functional teams
Employer & Industry UsageCommon in finance, tech, and consulting sectors; entry-level roles for research projectsWidespread across industries; entry-level roles for data analysis and reporting

Remote Entry Level Quantitative Researchers focus on developing models and analyzing data for research purposes, often in finance or tech. Remote Data Analysts interpret data sets to inform business decisions. While both roles require similar educational backgrounds, the researcher emphasizes modeling and theoretical analysis, whereas the analyst concentrates on data interpretation and reporting.

What are popular job titles related to Remote Entry Level Quantitative Researcher jobs in Washington, DC?

For Remote Entry Level Quantitative Researcher jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Remote Entry Level Quantitative Researcher jobs in Washington, DC look for?

The top searched job categories for Remote Entry Level Quantitative Researcher jobs in Washington, DC are:

Infographic showing various Remote Entry Level Quantitative Researcher job openings in Washington, DC as of August 2026, with employment types broken down into 72% Full Time, 22% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $134,966 per year, or $64.9 per hour.

Consulting Associate

James Dyson

Washington, DC โ€ข On-site, Remote

$90K/yr

Full-time

Medical, Retirement, PTO

Posted 24 days ago


Job description

Consulting Associate


Most grantmakers don't know what's actually working. This is the analytical engine that helps change that.


Snapshot

  • Location: Washington, DC (Hybrid, mostly remote; candidates should be based near DC)
  • Engagement: Full-time, direct hire
  • Compensation: $90,000 starting
  • Benefits: Comprehensive healthcare, flexible vacation, remote work, 401(k)


About the Role

We're looking for an analytically strong Associate to work directly with government clients (federal agencies, states, and other funding bodies) on outcomes measurement and evidence-informed grantmaking. You'll work alongside Managers and Directors on real client problems: building measurement frameworks, analyzing program portfolios, and translating data into decisions. This is a consulting role, not a research or policy position. You'll move fast, adapt often, and produce polished work for senior audiences. This role fits someone early in their career with subject-matter grounding in evaluation, data, or social impact, who is energized by ambiguity rather than slowed by it. You'll have real ownership from day one and exposure to clients and leadership.


What You'll Own

  • Analyze and support. Apply subject-matter expertise in evaluation, data analysis, performance measurement, or impact measurement. Support the development of strategic frameworks, assessments, and recommendations, and conduct quantitative and qualitative analysis on outcomes, performance, and effectiveness.
  • Produce client deliverables. Build clear, accurate, well-structured slides, memos, and visualizations. Synthesize complex information into concise insights for public-sector audiences, and prepare materials for meetings and working sessions.
  • Drive projects forward. Support Managers in executing plans against aggressive timelines, track tasks and dependencies, and collaborate across strategy and data-focused roles.
  • Grow fast. Build mastery in core consulting skills (data analysis, measurement frameworks, portfolio optimization), develop your understanding of public-sector funding and grantmaking, and contribute to internal tools, templates, and repeatable approaches.


What You Bring

  • 2 to 3 years in consulting, professional services, or public-sector roles
  • Subject-matter experience in evaluation, data analysis, impact measurement, financial analysis, or related areas
  • Interest in domestic social policy, grantmaking, or public-sector funding
  • Strong analytical and problem-solving skills
  • Excellent written, verbal, and presentation skills
  • High attention to detail and the ability to manage multiple priorities
  • A self-starter orientation: you own work end to end, move without being pushed, and thrive when the path isn't fully paved


Bonus Points

  • Experience in the nonprofit, social sector, or philanthropic space, in any capacity
  • Familiarity with national service, AmeriCorps, or domestic grantmaking programs
  • Quantitative skills (Excel, Stata, R, or similar) and comfort turning data into clear narratives for non-technical audiences
  • Experience using AI tools in analytical or research workflows


About Think Evolutionary

Think Evolutionary is a talent engineering firm built on 25+ years of leadership in Infrastructure, Innovation, and Impact. We architect resilient teams for mission-critical industries, including Government Contracting, Engineering, Technology, and Education. Through our 3DO methodology, Diagnose, Design, Build, Optimize, and behavioral science via the Predictive Index, every placement is engineered for long-term growth, not filled as a transaction.


EEO Statement

Think Evolutionary is an equal opportunity employer and does not make employment decisions based on race, color, religion, gender, gender identity, national origin, citizenship, age, disability, sexual orientation, marital status, pregnancy, genetic information, or any other legally protected status. We provide reasonable accommodations for applicants with disabilities and hire only individuals authorized to work in the United States.