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Remote Quantitative Data Analyst Jobs (NOW HIRING)

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Data Analyst

Melbourne, FL · Remote

$80K - $120K/yr

Data Analyst Location: Remote, within the United States Annual salary range: $80,000 - $120,000 ... Solid writing skills for the purpose of using quantitative data to cogently answer substantive ...

Futran Tech Solutions Pvt. Ltd.

Data Analyst

Data Analyst Remote Product Operations' focus is to support and educate the people and businesses ... You will possess strong quantitative analytical skills, statistical knowledge, data visualization ...

Futran Tech Solutions Pvt. Ltd.

Data Analyst

Data Analyst Location : Remote Product Operations' focus is to support and educate the people and ... You will possess strong quantitative analytical skills, statistical knowledge, data visualization ...

Elder Research

Data Analyst (Remote)

Data Analyst Work Location: Remote (preference for candidates located in the National Capital ... other quantitative or mathematical discipline. At least two (2) years of experience applied data ...

Elder Research

Data Analyst (Remote)

Data Analyst Work Location: Remote (preference for candidates located in the National Capital ... other quantitative or mathematical discipline. At least two (2) years of experience applied data ...

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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 Jun 9, 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:
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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 68% Full Time, 29% Part Time, and 3% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.
Mid-Sr. Energy Trading Settlements Analyst, Renewables - REMOTE

Mid-Sr. Energy Trading Settlements Analyst, Renewables - REMOTE

ThinkBAC Consulting

Dallas, TX • On-site, Remote

$84K - $105K/yr

Full-time

Medical, PTO

Posted 29 days ago

Job description

Job Description
Mid-Senior Energy Trading Settlements Analyst - Renewables Energy Storage (BESS)
Locations: HYBRID REMOTE - Houston, TX Area
This an opportunity to join an industry leading renewable energy venture and IPP with strong private equity backing that is focused on the development/execution of dynamic utility-scale energy storage projects. They are at the forefront of the industry, have accumulated over 9GW+ of projects in a relatively short period of time, and are currently in an accelerated expansion phase.
The Energy Trading Settlements Analyst will report into a Director on the Energy Trading Team and help pioneer the company's power trading settlement reconciliation process. A strong data analytics background working with SQL or Python is strongly preferred.
They are committed to creating more renewable infrastructure solutions for the grid and are offering comprehensive compensation packages to their employees leading the drive to meet company goals. Other perks included a competitive base salary, open PTO policy, flex work hours, health benefits, the opportunity to work with a transparent Executive Leadership Team..and more.
RESPONSIBILITIES:
  • Renewables Energy Trading Settlements Analyst / Quantitative Data Analyst - prepares, evaluates, and validates settlement invoices in coordination with energy trading partners
  • Renewables Energy Trading Settlements Analyst / Quantitative Data Analyst- leads the ISO, RTO, and counterparty daily accounting initiatives with afocus on shadow settlements
  • Renewables Energy Trading Settlements Analyst / Quantitative Data Analyst- manages the checkout process for physical trades before scheduling with ISOs and RTOs
  • Renewables Energy Trading Settlements Analyst / Quantitative Data Analyst- coordination of financial energy trading and physical trading AP/AR (Accounts Payable and Accounts Receivables) activities
  • Renewables Energy Trading Settlements Analyst / Quantitative Data Analyst- analysis and cross comparison of power trading derivatives to support the creation of a commercial disparity reports

QUALIFICATIONS:
  • 2-4+ years of Data analytics, Energy trading and power markets settlements experience
  • Hands-on experience with power trading reconciliations, confirmations, derivatives, and AR/AP settlement validations
  • Proven track record communicating with power trading counterparties and key internal cross-functional resources on the commercial asset management team
  • Well versed in the utilization of SQL, Python, and Power BI for portfolio optimization and physical/virtual power trading dynamics dealing with various energy platforms (renewables, solar, wind, BESS, energy storage, natural gas, O&G, Hydro...etc)
  • Solid analytical background focused on power market pricing, hedging strategies, transaction structuring, and risk assessments
  • Understanding of real-time energy trading, derivatives, power marketing, and transmission market operations including any relevant NERC, FERC, or transmission tariff/compliance initiatives
  • Must have an understanding of national energy markets and renewable energy portfolios (PJM, ERCOT, SPP, MISO, NYISO, ISO-NE, and CAISO)
  • Candidate who have held the following titles may be ideal: Energy Trading Analyst, Settlements Analyst, Data Science Analyst, Credit Analyst, orData Analyst

*The deadline for applications is 75 days from the original posting date

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