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Remote Quantitative Data Analyst Jobs in Austin, TX

We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion ... quantitative field is preferred * Must be a U.S. Citizen

Energy Analyst, Data Center Portfolio Responsibilities: * Analyze electric tariffs and wholesale ... Experience applying quantitative and financial modeling methodologies to evaluate energy market ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Quantitative Analytics, or Data Analytics. * Experience producing or reviewing research papers ...

AI Data Science Expert - Remote

Austin, TX ยท Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Quantitative Analytics, or Data Analytics. * Experience producing or reviewing research papers ...

AI Data Science Expert - Remote

Austin, TX ยท Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Quantitative Analytics, or Data Analytics. * Experience producing or reviewing research papers ...

Data Scientist

Austin, TX ยท On-site +1

We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion ... quantitative field is preferred * Must be a U.S. Citizen Employment Type: FULL_TIME

Data Scientist

Austin, TX ยท On-site +1

We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion ... quantitative field is preferred * Must be a U.S. Citizen

Data Processing Engineer

Austin, TX ยท On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our headquarters 1-2 times per quarter* We are looking for a passionate Security Data Analyst/Python Developer to ...

Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

This is a remote position with up to 25% domestic travel. This role leads team management and ... The Data Analytics Team Lead will be responsible for the oversight of the Data Analytics team and ...

... remote and underserved areas. This role will focus on consumer metrics and insights, conducting ... quantitative skills and curiosity for market dynamics, capable of turning complex data into ...

Data Engineer (Remote Opportunity)

Austin, TX ยท On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Develop and support data analytics and reporting solutions using Power BI. * Ensure data quality ...

Data Engineer (Remote Opportunity)

Austin, TX ยท On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Develop and support data analytics and reporting solutions using Power BI. * Ensure data quality ...

Data Analytics Instructor

Austin, TX ยท On-site +1

$4.0K/wk

This is a part-time, semesterly, and remote role (~5-7 hours/week). What You'll Do * Bring Data Analytics to life by incorporating real-world examples into our existing curriculum. * Lead one 90 ...

This is a part-time, semesterly, and remote role (~5-7 hours/week). What You'll Do * Bring Data Analytics to life by incorporating real-world examples into our existing curriculum. * Lead one 90 ...

Showing results 21-40

Remote Quantitative Data Analyst information

See Austin, TX salary details

$56K

$132.7K

$237.9K

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

As of Sep 6, 2026, the average yearly pay for remote quantitative data analyst in Austin, TX is $132,700.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $144,200.00 per year, depending on experience, location, and employer.

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 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 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.

What are the most commonly searched types of Quantitative Data Analyst jobs in Austin, TX?

The most popular types of Quantitative Data Analyst jobs in Austin, TX are:

What are popular job titles related to Remote Quantitative Data Analyst jobs in Austin, TX?

For Remote Quantitative Data Analyst jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Remote Quantitative Data Analyst jobs in Austin, TX look for?

The top searched job categories for Remote Quantitative Data Analyst jobs in Austin, TX are:

What cities near Austin, TX are hiring for Remote Quantitative Data Analyst jobs?

Cities near Austin, TX with the most Remote Quantitative Data Analyst job openings:

Infographic showing various Remote Quantitative Data Analyst job openings in Austin, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $132,700 per year, or $63.8 per hour.

Data Scientist (Remote)

Victory

Austin, TX โ€ข Remote

Full-time

Re-posted 22 days ago


Job description

About the Data Scientist position

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions.

We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required.

Data Scientist responsibilities are:
  • Research and detect valuable data sources and automate collection processes

  • Perform preprocessing of structured and unstructured data

  • Design, implement and deliver maintainable and high-quality code using best practices (e.g. Git/Github, Secrets, Configurations, Yaml/JSON)

  • Review large amounts of information to discover trends and patterns

  • Create predictive models and machine-learning algorithms

  • Modify and combine different models through ensemble modeling

  • Organize and present information using data visualization techniques

  • Develop and suggest solutions and strategies to business challenges

  • Work together with engineering and product development teams

Data Scientist requirements are:
  • 3+ years' experience of working on Data Scientist or Data Analyst position

  • Significant experience in data mining, machine-learning and operations research

  • Experience with data modeling, design patterns, building highly scalable and secured solutions preferred

  • Prior experience installing data architectures on Cloud providers (e.g. AWS,GCP,Azure), using DevOps tools and automating data pipelines

  • Good experience using business intelligence/visualization tools (such as Tableau), data frameworks (such as Hadoop, DataFrames, RDDs, Dataclasses) and data formats (CSV, JSON, Parquet, Avro, ORC)

  • Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset

  • MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred
  • Must be a U.S. Citizen