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Quantitative Data Analyst Jobs (NOW HIRING)

You'll design studies, analyze quantitative data, measure product efficacy and return on investment (ROI), and produce clear, defensible findings that help determine whether products are creating ...

You'll design studies, analyze quantitative data, measure product efficacy and return on investment (ROI), and produce clear, defensible findings that help determine whether products are creating ...

Are you passionate about data? Are you curious and analytical? Do you thrive on working in a team ... We are seeking a Quantitative Analytics Professional who will be responsible for engaging the key ...

The incumbent will validate and analyze agency data to garner public health insight for specific ... and quantitative data. • Working knowledge of MS Office Suite including Excel, Word, and ...

Design the wargame's quantitative experimental methodology, including determining Key Performance ... Bachelor's degree and at least 5 years' experience in data analysis. * Strong writing and critical ...

Design the wargame's quantitative experimental methodology, including determining Key Performance ... Bachelor's degree and at least 5 years' experience in data analysis. * Strong writing and critical ...

Design the wargame's quantitative experimental methodology, including determining Key Performance ... Bachelor's degree and at least 5 years' experience in data analysis. * Strong writing and critical ...

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Quantitative Data Analyst information

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$56.5K

$133.9K

$240K

How much do quantitative data analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for 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 does a Quantitative Data Analyst do?

A Quantitative Data Analyst uses statistical, mathematical, and computational techniques to analyze complex datasets and derive meaningful insights. They work with large datasets to identify patterns, trends, and correlations that support data-driven decision-making. Typically, they use programming languages like Python, R, and SQL, along with tools like Excel and machine learning models. Their work is crucial in industries like finance, healthcare, and technology, where data-driven strategies improve efficiency and outcomes.

What are some common challenges Quantitative Data Analysts face in their day-to-day work?

Quantitative Data Analysts often encounter challenges such as ensuring data accuracy, cleaning large and complex datasets, and managing inconsistent or incomplete information. They may also need to translate abstract statistical findings into clear, actionable recommendations for team members who may not have a technical background. Additionally, balancing multiple projects and tight deadlines can require strong organizational skills. Collaborating effectively with colleagues from different departments helps to align analytical solutions with business objectives and ensures that insights drive real impact.

What are the key skills and qualifications needed to thrive in the Quantitative Data Analyst position, and why are they important?

To thrive as a Quantitative Data Analyst, you need strong analytical skills, proficiency in statistics and mathematics, and a relevant degree such as in mathematics, statistics, economics, or computer science. Expertise with technical tools like SQL, Python, R, data visualization platforms, and possibly certifications in data analytics or statistical software is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help analysts interpret data and present actionable insights to diverse stakeholders. These competencies ensure the accurate analysis and clear presentation of complex data, enabling informed business decisions and organizational success.

More about Quantitative Data Analyst jobs
What cities are hiring for Quantitative Data Analyst jobs? Cities with the most 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 Quantitative Data Analyst jobs? States with the most job openings for Quantitative Data Analyst jobs include:
Infographic showing various Quantitative Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Data Analyst Researcher

AJAIA

Fort Lauderdale, FL • On-site

Full-time

Posted 14 days ago


Job description

Role Overview
LaunchEd is an innovation platform that helps education companies prove the real-world impact of their products through independent research and evidence-based validation. We partner with promising edtech companies, evaluate their effectiveness, and use those insights to support investment, growth, and go-to-market decisions.
As the Data Analyst Researcher, you'll build and deliver the research behind those decisions. You'll design studies, analyze quantitative data, measure product efficacy and return on investment (ROI), and produce clear, defensible findings that help determine whether products are creating meaningful outcomes for schools, educators, and students.
This role is ideal for someone who enjoys statistical analysis, research design, and using data to answer important business and educational questions.
Key Responsibilities
Efficacy & ROI Evaluation
• Baseline statistical benchmarks at intake and track them throughout program participation, from
intake to graduation.
• Design and run studies measuring product impact on student and operational outcomes.
• Quantify return on investment for companies and products across the LaunchEd portfolio.
• Produce independent, evidence-based evaluations that hold up to outside scrutiny.
• Produce efficacy and ROI reports on LaunchEd clients that are benchmarked against comparable
external data.
• Collaborate with higher-education and university partners to pursue university-sanctioned
research.
The LaunchEd Validation Score
• Develop and maintain the LaunchEd Validation Score as a core piece of platform IP.
• Establish a consistent, defensible methodology that can serve as a credible market standard for
edtech validation.
• Translate study findings into the standardized LaunchEd Validation Report.
In-House Study Capacity
• Deliver multiple efficacy and ROI studies per year as a repeatable in-house capability.
• Reduce reliance on external efficacy and validation vendors.
Cross-Department Support
• Provide research and analysis support across LaunchEd teams, including network grading and
accreditation.
• Partner with the deal team to feed validated outcomes into Gate 2 reviews and Investment
Committee decisions.
Requirements
• Strong quantitative and statistical analysis skills, with the ability to design and run studies
independently.
• Experience measuring efficacy, outcomes, or return on investment, ideally in education or a
related field.
• Ability to build clear, defensible methodologies and translate data into decision-ready findings.
• Familiarity with education data, student outcomes, and relevant compliance considerations such
as FERPA and COPPA is a plus.
• Proficiency with data analysis tools such as Excel, SQL, and Python or R, and clear data
visualization.
• Detail orientation, independence, and discretion handling confidential company and student data.
• Alignment with LaunchEd's mission and the Strong Minds, Good Hearts ethos.
Benefits
  • Competitive base salary + performance incentives
  • Professional development opportunities