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No Experience Entry Level Data Analyst Remote Jobs in Reston, VA

AAMC

Senior Research and Data Analyst

Washington, DC · On-site +1

$97K - $122K/yr

Experience in data collection, analysis, and reporting in small to large organizations where dataare critical todelivering onstrategy, mission, and services to members and constituents. Remote Work ...

VIS IT Solutions Inc

MongoDB Analyst

Dulles, VA · Remote

Remote We are seeking a skilled MongoDB Analyst to manage, analyze, and optimize large-scale NoSQL ... framework) - Experience with indexing strategies and performance tuning - Knowledge of data ...

System One

Data Governance Analyst

Merrifield, VA · Remote

Remote Pay Rate: Open to Both C2C and W2 options Position Type: Contract Must have strong communication, data analysis, and project management skills to: * Support the execution of Enterprise Data ...

New

West 4th Strategy

Data Scientist (Remote)

Washington, DC · On-site +1

$135K - $150K/yr

... experience as a Data Analyst or Data Scientist, with demonstrated hands-on experience with ... No travel required WORK HOURS * 40 hours per week * 8 hours per working day EMPLOYMENT ...

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No Experience Entry Level Data Analyst Remote information

See Reston, VA salary details

$13

$34

$64

How much do no experience entry level data analyst remote jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for no experience entry level data analyst remote in Reston, VA is $34.26, according to ZipRecruiter salary data. Most workers in this role earn between $22.02 and $38.27 per hour, depending on experience, location, and employer.

What is a no experience entry level data analyst remote?

A No Experience Entry Level Data Analyst Remote job is a position designed for individuals who are new to data analysis and do not have prior professional experience in the field. These roles typically involve collecting, cleaning, and interpreting data to help businesses make informed decisions. Employers may look for candidates with basic knowledge of Excel, SQL, or Python, along with strong analytical and problem-solving skills. Many companies provide training or mentorship to help new analysts develop their skills. Since the job is remote, all tasks are performed online, allowing for flexible work arrangements.

What does a typical day look like for a no experience entry level data analyst remote?

As a remote No Experience Entry Level Data Analyst, your day may include gathering and cleaning basic datasets, creating reports or visualizations in Excel, and participating in virtual meetings to discuss findings or project updates with team members. You will likely work under the guidance of senior analysts or a manager, allowing you to learn on the job and gradually take on more complex tasks. Communication is often conducted through email, instant messaging, and video calls, so being proactive about asking questions and seeking feedback is key. Over time, you may also be given opportunities to attend training sessions, shadow more experienced colleagues, and contribute to larger projects, helping to build your skills and confidence as you grow in the role.

What are the key skills and qualifications needed to thrive in the no experience entry level data analyst remote position, and why are they important?

To thrive as a No Experience Entry Level Data Analyst Remote, you should have a basic understanding of data analysis concepts, familiarity with spreadsheets (like Excel or Google Sheets), and at least a high school diploma or equivalent. Exposure to introductory data tools such as Microsoft Excel, Google Sheets, or basic SQL, as well as completion of online courses or certifications (e.g., Coursera, Google Data Analytics), can be beneficial. Strong attention to detail, effective written communication, and the ability to manage time independently are standout soft skills for remote work. These skills enable you to accurately interpret data, collaborate virtually, and complete tasks efficiently in a distributed team environment.

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No Experience Entry Level Data Analyst Remote jobs near you
Infographic showing various No Experience Entry Level Data Analyst Remote job openings in Reston, VA as of August 2026, with employment types broken down into 75% Full Time, 6% Part Time, 3% Temporary, and 16% Contract. Highlights an 3% In-person, and 97% Remote job distribution, with an average salary of $71,251 per year, or $34.3 per hour.

Workforce Modeling & Data Analyst

Golden Key Group

Washington, DC • On-site, Remote

Full-time

Re-posted 10 days ago

Job description

About GKG

With a passion for excellence, Golden Key Group (GKG) helps clients solve their strategic, organizational, and operational challenges to better meet their mission demands.  We have serviced more than 25 Federal departments and agencies and several large commercial companies since our inception in 2002.

Golden Key Group's talented professionals, combined with our strategic partners, bring a depth of commercial and government experience and expertise.  We are relentless in delivering the highest levels of services to provide tangible value and create sustainable results for our clients.

Overview

The Workforce Modeling & Data Analyst will serve as a mid to senior-level analytic resource supporting development of the Human Capital Strategic Plan, Human Capital Operating Plan, and Workforce Growth Plan. The analyst will interpret workforce staffing model data, historical workforce information, predictive analytics outputs, labor market inputs, and stakeholder-provided information to develop annual staffing targets, workforce projections, dashboards, and model-driven analytic products. This role will translate data into practical workforce planning insights that support staffing targets, surge and readiness requirements, workforce growth recommendations, performance monitoring, and senior leadership decision-making.

The selected individual will have the option to work remotely however will need to be local for onsite mandatory meetings in D.C.

Note** This position is being recruited in support of potential future contract awards, and qualified candidates may be considered for upcoming opportunities supporting federal government clients.

Responsibilities

The analyst will review background documentation and workforce data, identify gaps in available information, and document sources, assumptions, limitations, and methodologies used in the analysis. The analyst will develop staffing tables by job category and year, summarize planned growth and surge requirements, and prepare dashboards, briefing materials, and analytic narratives that support the Workforce Growth Plan, the environmental scan and workforce analysis sections of the HCSP, and the metrics and workforce risk elements of the HCOP. The analyst will also support analysis of workforce demographics, attrition and retirement projections, hiring trends, skills gaps, geographic staffing challenges, labor market conditions, and other factors needed to produce actionable, measurable, data-informed deliverables.

Qualifications
  • The minimum qualifications for this role include a bachelor's degree in human capital analytics, workforce planning, statistics, economics, public administration, business analytics, data science, industrial-organizational psychology, human resources, or a related discipline.
  • The candidate should have mid to senior-level experience supporting workforce analytics, workforce planning, staffing projections, data visualization, organizational planning, or related human capital analysis.
  • The candidate must be able to analyze workforce information, develop tables and dashboards, document analytic assumptions, and convert data findings into executive-ready planning recommendations.
  • Familiarity with federal human capital programs, staffing, recruitment, retention, workforce planning, or mission support operations is strongly preferred. The candidate must be a U.S. citizen and able to complete required suitability or security screening before accessing sensitive but unclassified information.
Desired Qualifications
  • The ideal candidate will hold a master's degree in analytics, workforce planning, public administration, human resources, organizational development, industrial-organizational psychology, statistics, or a related field.
  • The ideal candidate will have senior-level experience supporting federal workforce planning or human capital strategy engagements, including development of annual and multi-year workforce projections for complex organizations.
  • Experience using predictive analytics, trend analysis, attrition modeling, retirement eligibility analysis, labor market analysis, scenario planning, Power BI, Tableau, Excel, statistical software, or comparable visualization and analytic tools is highly desirable.
  • Experience supporting law enforcement, DHS, national security, or other federal operational workforce environments would further strengthen alignment to the solicitation.
Employment Type: FULL_TIME

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