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Remote Analyst Jobs in Reston, VA (NOW HIRING)

DemandFactor is seeking a focused and skilled Marketing Analyst. This position is fully remote, and shifts are available during EST through PST hours. The selected candidate will perform various ...

ASRC Federal Data Networx LLC is seeking a full-time Geospatial Analyst to join our DC-based team ... Apply advanced remote sensing methods and GIS technologies to support crop production mapping and ...

ASRC Federal Data Networx LLC is seeking a full-time Geospatial Analyst to join our DC-based team ... Apply advanced remote sensing methods and GIS technologies to support crop production mapping and ...

ASRC Federal Data Networx LLC is seeking a full-time Geospatial Analyst to join our DC-based team ... Apply advanced remote sensing methods and GIS technologies to support crop production mapping and ...

Business Solutions Analyst III - Remote

Washington, DC · Remote

$49.50 - $68.25/hr

Job Title Business Solutions Analyst III - Remote Requisition Number R7695 Business Solutions Analyst III - Remote (Open) Location Arizona - Home Teleworkers Additional Locations Alabama - Home ...

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Remote Analyst information

See Reston, VA salary details

$32.8K

$77.4K

$137.4K

How much do remote analyst jobs pay per year?

As of May 29, 2026, the average yearly pay for remote analyst in Reston, VA is $77,425.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,500.00 and $91,900.00 per year, depending on experience, location, and employer.

What Are Different Types of Remote Jobs For Analysts?

Some remote analyst jobs include positions like a remote business analyst, remote data analyst, and remote financial analyst. In a remote analyst job, you work from home using virtual tools to process data and provide a useful analysis of the results for your company. You may be asked to make judgments about the information, determine whether or not the company should finance a project, or evaluate the likely returns for a given course of action. You frequently use or program software to interact with a database and produce results. One of the most important parts of a remote analyst job is determining what questions are useful to ask and how to obtain the answers—most companies have plenty of data, but getting meaningful results from it requires a specialist.

What are the key skills and qualifications needed to thrive as a Remote Analyst, and why are they important?

To thrive as a Remote Analyst, you need strong analytical abilities, data interpretation skills, and a relevant degree in fields like business, finance, or data science. Familiarity with data analysis tools such as Excel, SQL, and business intelligence platforms, along with certifications like CBAP or CAP, is highly valued. Excellent communication, time management, and self-motivation are crucial soft skills for collaborating virtually and meeting deadlines independently. These skills ensure accurate insights, effective remote teamwork, and consistent productivity in a distributed work environment.

How do Remote Analysts typically collaborate with team members and stakeholders across different locations?

Remote Analysts often work closely with cross-functional teams by leveraging digital collaboration tools like Slack, Zoom, and project management platforms. Regular virtual meetings, shared dashboards, and clear documentation are key to ensuring alignment and transparency. While working remotely can present challenges in communication and time zone differences, proactive updates and structured workflows help maintain productivity and strong working relationships with both immediate teams and external stakeholders.

What is a Remote Analyst?

A Remote Analyst is a professional who analyzes data, trends, or processes for an organization while working from a location outside the traditional office, often from home. Their responsibilities typically include collecting and interpreting data, generating reports, and providing insights to help guide business decisions. Remote Analysts use digital tools to collaborate with colleagues and stakeholders, ensuring effective communication despite physical distance. This role is common in fields like finance, market research, data analysis, and business intelligence.

What is the difference between Remote Analyst vs Remote Data Analyst?

AspectRemote AnalystRemote Data Analyst
Required CredentialsBachelor's in Business, Economics, or related field; basic analytical skillsBachelor's in Statistics, Mathematics, or related; proficiency in data tools
Work EnvironmentRemote, often in business or consulting settingsRemote, primarily in data-driven roles across industries
Employer & Industry UsageBusinesses, consulting firms, government agenciesTech companies, finance, healthcare, marketing
Common Search & ComparisonYesYes

The main difference between a Remote Analyst and a Remote Data Analyst lies in their focus and skill set. Remote Analysts typically work on business processes, strategy, and operational insights, while Remote Data Analysts specialize in analyzing data sets, creating reports, and deriving insights from data tools. Both roles are remote-friendly and share similar credentials, but their industry applications and daily tasks differ significantly.

What are the most commonly searched types of Analyst jobs in Reston, VA? The most popular types of Analyst jobs in Reston, VA are:
What are popular job titles related to Remote Analyst jobs in Reston, VA? For Remote Analyst jobs in Reston, VA, the most frequently searched job titles are:
What cities near Reston, VA are hiring for Remote Analyst jobs? Cities near Reston, VA with the most Remote Analyst job openings:
Infographic showing various Remote Analyst job openings in Reston, VA as of May 2026, with employment types broken down into 100% Full Time. Highlights an 27% In-person, 9% Hybrid, and 64% Remote job distribution, with an average salary of $77,425 per year, or $37.2 per hour.
Compensation Analyst - Remote

Compensation Analyst - Remote

DCI Consulting

Washington, DC • Remote

$75K - $90K/yr

Full-time

Posted 19 days ago


Job description

Position: Compensation Analyst - Remote


Location: Remote
Department: Employment and Litigation Services (ELS)
Experience Level: Mid-level (minimum 3 years of experience)

Salary Range: $75,000- $90,000


About DCI:

DCI Consulting Group is a leading Human Resources (HR) risk management and workforce analytics firm that helps organizations solve their most complex human resource challenges through a data-driven, research-based approach.

Our experienced consultants partner with clients to address organizational needs holistically, utilizing best practices in human resources, industrial-organizational psychology, and labor economics to promote workplace equity and mitigate risk.


Our Clients:

DCI Consulting Group proudly serves a broad spectrum of clients across multiple sectors, including private sector employers, federal agencies and contractors, public sector organizations, non-profits, and national law firms.


Top Client Initiatives DCI Supports:

Employee selection procedure development and validation research, pay equity and other EEO analytics, compensation consulting, workplace compliance, nondiscrimination reporting, and litigation support as testifying and consulting experts.


About the Job:

DCI Consulting Group is seeking a Compensation Analyst to join our Employment & Litigation Support (ELS) Division. In this role, you will work alongside industry-leading experts in a fast-paced consulting environment to help organizations build equitable and competitive compensation programs that align with legal standards and business strategy.

This position is ideal for mid-career compensation professionals with demonstrated consulting experience and a genuine desire to support clients across a variety of industries.


Responsibilities:

  • Conduct market benchmarking using survey data platforms and publicly available sources
  • Assist in the design and assessment of job architecture, salary structures, and pay ranges
  • Review job descriptions to align positions within leveling frameworks
  • Gather, scrub, and organize compensation data, ensuring data quality and accuracy
  • Analyze market trends and pay equity data to support client recommendations
  • Support statistical analyses to inform compensation design decisions
  • Help ensure compliance with compensation-related regulations (e.g., EEO, FLSA)
  • Prepare clear, concise summaries and visuals for internal and client-facing presentations and reports
  • Support compensation project management and cycle planning tasks
  • Communicate proactively with clients and teammates on deliverables and project initiatives


Required Skills and Qualifications:

  • Bachelor's degree in HR, Business, or related field
  • Minimum 3 years of experience in compensation, HR analytics, or related role
  • Minimum 2 years of experience working in a consulting firm or professional services environment
  • Understanding of compensation fundamentals (e.g., job evaluation, benchmarking, pay equity, and market pricing)
  • Demonstrated proficiency benchmarking positions against public and private sector market data using both publicly available and privately held survey sources (e.g., Mercer, Willis Towers Watson, ERI, Salary.com)
  • Advanced Excel skills (e.g., pivot tables, VLOOKUP/HLOOKUP/XLOOKUP, IF statements, INDEX/MATCH, SUMIFS/AVERAGEIFS/COUNTIFS, and data modeling), with demonstrated experience in data quality assurance (QA)
  • Strong computer skills in MS Suite (e.g., Word, Access, PowerPoint, Outlook, 365, Teams)
  • Strong attention to detail with the ability to manage multiple workstreams within tight deadlines
  • Strong written and verbal communication skills, with a demonstrated ability to proactively engaged teammates and clients on deliverables and project initiatives.
  • Familiarity with compensation-related regulations and compliance requirements, including EEO and FLSA
  • Ability to thrive in a remote, fast-paced consulting environment as a member of a team and with significant autonomy, self-discipline, and organization skills


Preferred Experience:

  • Familiarity with statistical concepts or tools supporting compensation analysis (e.g., regression, distribution analysis)
  • Familiarity with artificial intelligence in work products
  • Familiarity with executive or sales compensation
  • Total rewards knowledge, particularly benefits benchmarking
  • Exposure to compensation work in multiple sectors, including nonprofit, private sector, public sector, and/or higher education settings