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Remote Economics Jobs in Silver Spring, MD (NOW HIRING)

Senior Financial Analyst - Remote

Reston, VA · On-site +1

$89K - $111K/yr

Analyze clinic level and provider level economics, including utilization, revenue per visit, and ... LI-Remote #LI-JM2 Interested in joining Team Thriveworks? We're thrilled to meet you! With Job ...

IB Subjects Tutor (Remote)

Mclean, VA · On-site +1

$25 - $35/hr

IB History, Economics, and other IB Individuals & Societies courses Tutors should be comfortable ... Fully Remote At Novastar Prep, we are committed to diversity, equity, and inclusion. We provide a ...

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Remote Economics information

See Silver Spring, MD salary details

$55

$67

$78

How much do remote economics jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for remote economics in Silver Spring, MD is $67.59, according to ZipRecruiter salary data. Most workers in this role earn between $61.63 and $73.56 per hour, depending on experience, location, and employer.

What are remote economics jobs?

Remote economics jobs are positions in the field of economics that can be performed from any location outside of a traditional office setting, often using digital communication and collaboration tools. These roles may include economic research, data analysis, policy advising, consulting, or teaching, and are commonly found at organizations such as research institutes, government agencies, consulting firms, and academic institutions. Working remotely allows economists to collaborate with global teams and access a wider range of job opportunities, all while maintaining flexibility in their work environment.

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

To thrive as a Remote Economist, you need strong analytical skills, a solid foundation in economic theory, and typically at least a bachelor’s or master’s degree in economics or a related field. Familiarity with statistical analysis software (such as Stata, R, or Python), data visualization tools, and remote collaboration platforms is crucial. Exceptional written communication, self-motivation, and time management are standout soft skills in this fully remote role. These skills and qualities enable rigorous economic analysis, effective teamwork across distances, and clear presentation of findings to stakeholders.

What are remote economics jobs?

Many remote economics jobs focus on performing research and analysis and making forecasts about the economy as well as specific businesses and markets. Other virtual economics jobs involve teaching classes in economics. The duties and responsibilities of these work from home positions vary. If you teach economy classes, you prepare a syllabus and teach each course in a virtual learning environment. As a remote economist, you collect data and use it to explain an economic phenomenon or predict future business trends for companies, industry organizations, or governments. You can also offer insight to media outlets as a consultant.

How do remote economics professionals typically collaborate with team members and stakeholders across different locations?

Remote economics professionals often work with colleagues, clients, or policymakers located in various regions, so effective collaboration relies heavily on digital tools. They frequently use video conferencing, shared documents, and project management platforms to communicate findings, discuss data analyses, and coordinate research projects. Regular virtual meetings and clear documentation are essential to ensure everyone stays aligned and informed. Building strong communication habits and being proactive about updates help overcome the challenges of remote teamwork in this field.

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

AspectRemote EconomicsRemote Data Analyst
Required CredentialsDegree in Economics or related field, possibly some quantitative certificationsDegree in Statistics, Mathematics, or related field; often includes certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentPrimarily research, analysis, and report writing, often in academic or consulting settingsData collection, analysis, visualization, and reporting, typically in corporate or tech environments
Employer & Industry UsageUniversities, research firms, government agencies, consulting firmsTech companies, finance, healthcare, marketing agencies

Remote Economics and Remote Data Analyst roles share a focus on data interpretation but differ in their core skills and industry applications. Economics roles emphasize economic theory, policy analysis, and research, while Data Analyst positions focus on data manipulation, visualization, and technical tools. Both roles often require quantitative skills and can be performed remotely, but their typical work environments and employer types vary.

What are the most commonly searched types of Economics jobs in Silver Spring, MD?

The most popular types of Economics jobs in Silver Spring, MD are:

What are popular job titles related to Remote Economics jobs in Silver Spring, MD?

For Remote Economics jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Remote Economics jobs in Silver Spring, MD look for?

The top searched job categories for Remote Economics jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Remote Economics jobs?

Cities near Silver Spring, MD with the most Remote Economics job openings:

Infographic showing various Remote Economics job openings in Silver Spring, MD as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 74% Physical, 9% Hybrid, and 17% Remote job distribution, with an average salary of $140,593 per year, or $67.6 per hour.

Compensation Analyst - Remote

DCI Consulting Group Inc

Washington, DC • Remote

$75K - $90K/yr

Full-time

Re-posted 5 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