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Remote Economic Data Analyst Jobs (NOW HIRING)

Bachelor's degree in Analytics, Economics, Business Analysis, Marketing, or a related field * 3+ ... Ensure data accuracy, completeness, usability, and consistency * Partner with data engineering to:

* Analyze and create an inventory track of data analytics and business intelligence assets, including data, reports, dashboards, and queries tools that will be used during future modernization programs ...

Data Analyst

Charlottesville, VA · On-site +1

$61K - $141K/yr

R0236319 Data Analyst The Opportunity: As a Data Analyst, you'll apply your technical and ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Analyze and create an inventory track of data analytics and business intelligence assets, including data, reports, dashboards, and queries tools that will be used during future modernization programs ...

We are a remote first employer with the majority of our employees residing in the upper Midwest. As ... We are searching for a Data Analyst to join our Data & Insights team with a strong focus on ...

Data Analyst

Charlottesville, VA · On-site +1

$61K - $141K/yr

Data Analyst The Opportunity: As a Data Analyst, you'll apply your technical and analytical ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Remote Primary Responsibilities: * Be a key or core resource for complex issues, data discrepancies, and fire drills * Assesses and interprets customer requests for feasibility, priority, and ...

Most of our positions are remote, providing flexibility while contributing to meaningful federal projects. Key Skills amp; Qualifications We're Looking For: * Data Analysis amp; Reporting: Experience ...

Data Analyst

New York, NY · Remote

$55 - $60/hr

This is a remote opportunity. About this Position Join a fast-paced Product Operations team focused ... Analyze operational data to identify trends, risks, and improvement opportunities * Build and ...

Fully remote anywhere in the Unted States. Employment Type: 6-month contract with possibility to extend or convert. Role Overview We are seeking a highly analytical Data Analyst to support a large ...

Salary range: $100,003-120,000 plus 10% bonus Remote hires will be required to travel to our ... Bachelor's degree in Data Science, Computer Science, Statistics, Economics or related field * 8-10+ ...

Salary range: $100,003-120,000 plus 10% bonus Remote hires will be required to travel to our ... Bachelor's degree in Data Science, Computer Science, Statistics, Economics or related field * 8-10+ ...

100% US Remote Standard Monday-Friday, approximately 8:00 AM - 4:00 PM local time 6-month engagement Seeking a hands-on Data Analyst with strong operational analytics experience supporting HR ...

Senior Data Analyst

Austin, TX · On-site +1

$86K - $109K/yr

Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science ... data science, reporting and analytics, economics, or public health. * 3 years experience in SQL ...

Salary range: $100,003-120,000 plus 10% bonus Remote hires will be required to travel to our ... Bachelor's degree in Data Science, Computer Science, Statistics, Economics or related field * 8-10+ ...

Sr. Data Analyst - Remote

Manhattan, NY · On-site +1

$94K - $119K/yr

Details: Sr. Data Analyst Duration: Full time / Direct Hire Location: 100% Remote but candidate must be in below states Will hire remote in CA, CT, FL, GA, IL, MD, NH, NJ, NY, NC, PA, TX, UT, WA, DC ...

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Remote Economic Data Analyst information

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$31K

$73.3K

$130K

How much do remote economic data analyst jobs pay per year?

As of Jun 8, 2026, the average yearly pay for remote economic data analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

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.
More about Remote Economic Data Analyst jobs
What cities are hiring for Remote Economic Data Analyst jobs? Cities with the most Remote Economic Data Analyst job openings:
What are the most commonly searched types of Economic Data Analyst jobs? The most popular types of Economic Data Analyst jobs are:
What states have the most Remote Economic Data Analyst jobs? States with the most job openings for Remote Economic Data Analyst jobs include:
Infographic showing various Remote Economic Data Analyst job openings in the United States as of May 2026, with employment types broken down into 46% Full Time, 52% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.
Data Analyst

Full-time

Posted 2 days ago


Job description

Job description:
Qualifications
Required Qualifications
  • Bachelor's degree in Analytics, Economics, Business Analysis, Marketing, or a related field
  • 3+ years' experience working with SQL, Python, or similar analytical tools
  • 1+ year experience in stakeholder-facing roles or product ownership responsibilities
  • Demonstrated experience supporting data-driven decision-making

Key Responsibilities
1. Data Product Ownership & Quality Assurance
  • Own analytics-ready datasets and dashboards from requirements through delivery and adoption
  • Lead QA and UAT processes for new datasets, pipelines, and data products
    • Define acceptance criteria, test plans, and validation checks
    • Ensure data accuracy, completeness, usability, and consistency
  • Partner with data engineering to:
    • Investigate root causes of data issues and bugs
    • Prioritize fixes and enhancements
    • Validate deployments before production release
  • Act as a subject-matter expert for data definitions, metrics, and business logic
  • Maintain documentation for data products, schemas, and testing standards

2. Analytics Enablement & Insight Delivery
  • Query and validate complex datasets using SQL and Python
  • Analyze large datasets to identify trends, patterns, and actionable insights
  • Translate analytical findings into clear, business-friendly narratives
  • Support end-to-end analytical deliverables from exploration through operationalization
  • Ensure analytics outputs are trusted, repeatable, and fit for business use

3. Marketing & Experimentation Support
  • Partner with marketing and business teams to:
    • Enable audience segmentation for acquisition, engagement, and retention initiatives
    • Define data needs for targeted and 1:1 campaign execution
  • Support experimentation frameworks by:
    • Defining test/control logic and success metrics
    • Validating campaign data inputs and outputs
  • Ensure campaign data flows are properly tested and production-ready

4. Stakeholder & Cross-Functional Collaboration
  • Act as the primary liaison between business stakeholders and technical teams
  • Elicit, document, and prioritize business requirements for analytics and data products
  • Align privacy, legal, and compliance considerations into data design and testing
  • Collaborate with internal teams and external partners to assess data quality and resolve discrepancies
  • Promote shared understanding of data products and encourage best practices across teams

Skills & Competencies
Technical Skills
  • Strong proficiency in SQL and working knowledge of Python
  • Experience validating and testing data pipelines, datasets, and dashboards
  • Understanding of data modeling concepts and analytical data structures
  • Familiarity with cloud data platforms and modern data pipelines is a plus
  • Experience working with consumer or customer data preferred

Product & QA Skills
  • Experience defining business requirements, acceptance criteria, and success metrics
  • Strong background in QA, UAT, and data validation workflows
  • Ability to balance speed with data quality and governance
  • Comfort operating as a product owner without direct engineering management

Soft Skills
  • Excellent communication and data storytelling skills
  • Strong critical thinking and problem-solving capabilities
  • Ability to navigate ambiguity and drive clarity across teams
  • Proven ability to influence stakeholders without formal authority
  • High attention to detail and a proactive ownership mindset

Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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