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Remote Quantitative Data Analyst Jobs (NOW HIRING)

psudo

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights ... Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or ...

Booz Allen Hamilton

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Create and edit visual content, including charts, graphs, and dashboards, to transform quantitative ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Easy Recruiter

Health Care Data Analyst - Remote

Health Care Data Analyst - Remote The Research Associate/Health Care Data Analyst provides high-level professional claims analytics work related to Medicaid and conducts quantitative analyses ...

GDIT

Program/Data Analyst Advisor

WV · On-site +1

$124K - $143K/yr

Experience with quantitative and qualitative data analysis. * Data engineering and experience ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

LTK USA

Data Analyst

Dallas, TX · Remote

Data Analyst Location: US-Remote About the role The Insights & Analytics team at LTK is a core ... Bachelor's degree in any field; a strong quantitative foundation (e.g., in economics, statistics ...

Radiance Technologies

Junior Data Analyst

Advanced Trade Analytics Platform (ATAP) Remote (U.S.) Active Top Secret Clearance Required Launch ... Or a related quantitative discipline Experience * Two (2) years of relevant experience in analytics ...

Tech Tammina

Vehicle Data & Quality Analyst

Fully remote - can work remote anywhere, but the whole team runs on PST time zone Must have skills ... Working knowledge of Python Ability to conduct quantitative and qualitative analyses Organized ...

Navtech, Inc.

Sr Data Analyst

Atlanta, GA · On-site +1

$82K - $104K/yr

Job Title : Sr Data Analyst Location: Atlanta, GA, Remote Duration : 6 to 12 Months Contract to ... contribute to the quantitative analysis of the Sales organization's key challenges and ...

Data Ideology

Data Analyst

Pittsburgh, PA · Remote

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Federal Express Corporation

Sr. Data Analyst

Memphis, TN · On-site +1

$76K - $96K/yr

Typically uses data, statistical and quantitative analysis, limited modeling, and fact-based management to drive decision making. * Mentors less senior staff. * Works in cross-functional projects and ...

NuView Analytics

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

NuView Analytics

Senior Data Analyst (Remote)

Denver, CO · Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics we help companies accelerate the time to insights from their data. We do this in three ways data analytics, data diligence, and fractional ...

ConnectPrep

Data Analyst Internship

Washington, DC · Remote

You have strong math/quantitative skills and excellent attention to detail. * You are curious about ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

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All JobsRemote Quantitative Data Analyst Jobs

Remote Quantitative Data Analyst information

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$56.5K

$133.9K

$240K

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

As of Jul 5, 2026, the average yearly pay for remote quantitative data analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by Remote Quantitative Data Analysts, and how can they be addressed?

Remote Quantitative Data Analysts often encounter challenges such as aligning with distributed teams across different time zones and maintaining clear communication about project goals and data findings. To address these, it's important to leverage collaboration tools, establish regular check-ins, and document analysis steps thoroughly. Additionally, managing large data sets remotely requires reliable access to secure data storage and processing platforms. Building strong relationships with team members and staying proactive in communication can help ensure smooth workflow and minimize misunderstandings.

What is a Remote Quantitative Data Analyst?

A Remote Quantitative Data Analyst is a professional who works from a location outside of a traditional office to collect, analyze, and interpret numerical data in order to help organizations make informed decisions. They use statistical techniques, mathematical models, and data visualization tools to identify trends, patterns, and insights from large datasets. Working remotely, they often collaborate with team members and stakeholders through digital communication platforms. Their work is crucial in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are essential. Remote Quantitative Data Analysts must possess strong analytical skills, proficiency in statistical software, and the ability to communicate complex data findings clearly.

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

To thrive as a Remote Quantitative Data Analyst, you need strong statistical analysis, data interpretation, and problem-solving skills, usually supported by a degree in mathematics, statistics, economics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with experience using statistical modeling systems, is critical. Strong attention to detail, self-motivation, and effective communication are essential soft skills for collaborating remotely and presenting insights clearly. These abilities enable accurate data-driven decision-making, foster remote teamwork, and ensure the delivery of valuable analytical insights.

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

AspectRemote Quantitative Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Statistics, Mathematics, or related field; often certifications in data analysis toolsBachelor's or higher in Computer Science, Statistics, or related; often advanced certifications or degrees
Work EnvironmentPrimarily in data analysis teams within finance, marketing, or healthcare sectorsInvolves data modeling, machine learning, and software development in tech or research firms
Employer & Industry UsageUsed across finance, healthcare, marketing, and consulting firmsCommon in tech, research institutions, and large corporations

While both roles involve working with data, Remote Quantitative Data Analysts focus on analyzing and interpreting data sets to inform decisions, whereas Remote Data Scientists develop models and algorithms to extract insights, often requiring more advanced programming and machine learning skills.

More about Remote Quantitative Data Analyst jobs
What cities are hiring for Remote Quantitative Data Analyst jobs? Cities with the most Remote Quantitative Data Analyst job openings:
What are the most commonly searched types of Quantitative Data Analyst jobs? The most popular types of Quantitative Data Analyst jobs are:
What states have the most Remote Quantitative Data Analyst jobs? States with the most job openings for Remote Quantitative Data Analyst jobs include:
What job categories do people searching Remote Quantitative Data Analyst jobs look for? The top searched job categories for Remote Quantitative Data Analyst jobs are:
Remote Quantitative Data Analyst jobs near you
Infographic showing various Remote Quantitative Data Analyst job openings in the United States as of June 2026, with employment types broken down into 13% As Needed, 36% Full Time, 38% Part Time, and 13% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.
Data Analyst / Data Scientist

Data Analyst / Data Scientist

psudo

On-site, Remote

Full-time

Posted 4 days ago

Job description

Other locations: Canada, London, India & Australia.


Remote: OK


Job role:

As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role will involve driving initiatives to optimize for operational excellence and revenue.

Responsibilities:

  • Ensure that data flows smoothly from source to destination so that it can be processed
  • Utilize strong database skills to work with large, complex data sets to extract insights
  • Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
  • Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
  • Build tools for automating repetitive asks so that bandwidth can be freed for analytics
  • Collaborate with program managers and business analysts  to help them come up with actionable, high-impact insights across product lines and functions
  • Work closely with top management to prioritize information and analytic needs

Requirements:

  • Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work experience of over 2-3 years (open to talk to freshers as well).
  • Ability to program in any high level language is required. Familiarity with R and statistical packages are preferred.
  • Proven problem solving and debugging skills.
  • Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation and processing. Work experience with real data for customer insights, business and market analysis will be advantageous.
  • Experience with text analytics, data mining and social media analytics.
  • Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.
Employment Type: FULL_TIME

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