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Remote Economic Data Analyst Jobs in Virginia (NOW HIRING)

Redhorse Corporation

Data Analyst

Arlington, VA · On-site +1

Data Analyst About the Organization Now is a great time to join Redhorse Corporation. Our mission ... for remote work to be determined by the program manager and customer. Essential Functions:

Blue Ridge Care

Healthcare Data Analyst

Winchester, VA · On-site +1

Bachelor's degree in Data Analytics, Finance, Statistics, Economics, Business, or a related field ... Hybrid work environment: remote work permitted with periodic travel to the Winchester office ...

SAIC

Data Analyst - GEOINT Technical SME

Springfield, VA · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Analyst - GEOINT Technical SME applies their technical and analytical capabilities to support key business and security ...

Capital One

Principal Data Analyst

Richmond, VA · On-site +1

$105K - $160K/yr

Requires a bachelor's or foreign equivalent degree in Statistics, Economics, Operations Research ... Richmond, Virginia * $105,515 to $160,800 per year for Principal Data Analyst At this time, Capital ...

Genworth Financial

Principal Data Analyst

Richmond, VA · On-site +1

... remote applicants residing in states/locations under Eastern or Central Standard Time: Alabama ... Economics, Mathematics, Computer Science). * 6+ years of progressive experience in data analytics ...

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Remote Economic Data Analyst information

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

To thrive as a Remote Economic Data Analyst, you need strong quantitative analysis skills, proficiency in economic theory, and usually a degree in economics, statistics, or a related field. Familiarity with data analysis tools such as Excel, R, Python, and visualization platforms, along with experience using databases and data management systems, is essential. Attention to detail, problem-solving ability, and clear written communication are standout soft skills for this role. These skills enable accurate data interpretation, insightful reporting, and effective collaboration in a remote environment, driving informed business or policy decisions.

What does a Remote Economic Data Analyst do?

A Remote Economic Data Analyst is responsible for gathering, processing, and interpreting economic data to identify trends and support decision-making for organizations. They work from a remote location, using statistical software and data visualization tools to analyze economic indicators such as inflation, employment, and GDP. Their insights are often used in economic forecasting, policy analysis, and business strategy. Remote Economic Data Analysts collaborate with teams virtually and communicate their findings through reports and presentations.

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

AspectRemote Economic Data AnalystRemote Data Analyst
Required CredentialsBachelor's in Economics, Statistics, or related field; often some experience in economic modelingBachelor's in Data Science, Statistics, or related; may require programming skills
Work EnvironmentPrimarily research-focused, analyzing economic trends and reportsData collection, cleaning, and analysis across various industries
Employer & Industry UsageGovernment agencies, economic research firms, financial institutionsTech companies, consulting firms, healthcare, retail

Remote Economic Data Analysts focus on economic trends and policy impacts, often requiring economic credentials. Remote Data Analysts handle broader data tasks across industries, with a wider range of technical skills. Both roles are remote-friendly but serve different primary functions within their fields.

How do Remote Economic Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Economic Data Analysts often collaborate through digital platforms such as video conferencing, shared documents, and project management tools. Regular virtual meetings are held to discuss findings, align on project goals, and address data challenges. Analysts also communicate frequently with economists, data engineers, and business leaders to ensure that analyses meet organizational needs. Strong written and verbal communication skills are essential for conveying complex economic insights effectively in a remote setting.
What are popular job titles related to Remote Economic Data Analyst jobs in Virginia? For Remote Economic Data Analyst jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Economic Data Analyst jobs in Virginia look for? The top searched job categories for Remote Economic Data Analyst jobs in Virginia are:
What cities in Virginia are hiring for Remote Economic Data Analyst jobs? Cities in Virginia with the most Remote Economic Data Analyst job openings:
Remote Economic Data Analyst jobs near you
Data Analyst

Data Analyst

PEOPLE TECHNOLOGY AND PROCESSES LLC

Arlington, VA • Remote

Other

Re-posted 10 days ago

Job description

Position Title: Data Analyst

Location: Arlington, VA (Remote)

Clearance Level: Secret

Responsibilities will include, but are not limited to:

  • Analyze military operational data to identify trends, patterns, and anomalies that can inform strategic decision-making.
  • Clean, and preprocess large datasets related to Army operations, logistics, personnel, and intelligence for analysis.
  • Develop dashboards and reports to visualize key performance indicators and metrics for Army leadership.
  • Perform geospatial analysis to support mission planning, resource allocation, and situational awareness.
  • Conduct data mining and exploratory data analysis to extract insights from diverse military datasets.

Required qualifications

  • Bachelor’s Degree in related field of study or equivalent experience.
  • Minimum of three years of experience, one within DoD, working with big-data systems and developing production-level data models.
  • Possess skills and expertise in machine learning tools to select features, create, and optimize classifiers.
  • Possess demonstrable collegiate-level writing skills, demonstrated familiarity with the U.S. Army organization and regulations, and strong organization and communication skills.
  • Have a strong data science, machine learning, and statistical modeling background.
  • Communicate complex technical findings to a variety of audiences.
  • Demonstrate practical experience substantiating equivalent skills such as Structured Query Language, Microsoft Excel, R or Python statistical programming, Data Visualization, and Presentation Skills. Prior knowledge of Power BI, Tableau, and Advana data science is preferred.

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