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Remote Quantitative Analyst Jobs in Missouri (NOW HIRING)

Jobgether

The position combines quantitative analysis with qualitative research to uncover not only what ... Remote-first work environment with flexibility. * Comprehensive medical, dental, vision, disability ...

Wood Plc

GIS Analyst - FEMA

Ballwin, MO · Remote

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... Remote Skills / Qualifications Required: * 2 - 5 years of GIS project experience * BA/BS in GIS ...

Wood Plc

GIS Analyst - FEMA

Kansas City, MO · Remote

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... Remote Skills / Qualifications Required: * 2 - 5 years of GIS project experience * BA/BS in GIS ...

Jobgether

Excellent quantitative reasoning skills with the ability to analyze performance data and identify ... Ability to work effectively in a remote environment aligned with Pacific Time Zone hours.

Jobgether

$66K - $83K/yr

... related quantitative field is a plus. Benefits * Fully remote work opportunity within an ... Opportunity to build and shape analytics processes and reporting infrastructure from the ground up.

Pinion

Manager - National Tax Office

Jackson, MO · Remote

$96K - $127K/yr

Perform quantitative analysis and tax modeling to evaluate entity structures, transactions, and ... Remote Eligibility: This position is US - Remote Eligible. The role may include occasional work at ...

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Remote Quantitative Analyst information

See Missouri salary details

$53K

$125.6K

$225.1K

How much do remote quantitative analyst jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote quantitative analyst in Missouri is $125,577.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $136,500.00 per year, depending on experience, location, and employer.

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

Remote Quantitative Analysts often face challenges such as managing complex data sets independently, ensuring clear communication with team members across different locations, and maintaining focus without direct supervision. To overcome these hurdles, it's important to establish a structured daily routine, utilize collaboration tools like Slack or Zoom for real-time communication, and document analyses thoroughly for transparency. Regular check-ins with colleagues and participation in virtual brainstorming sessions can also foster a sense of teamwork and facilitate problem-solving. Proactively seeking feedback and staying updated on industry best practices will help you grow and excel in this dynamic remote role.

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

To thrive as a Remote Quantitative Analyst, you need strong analytical and mathematical skills, a degree in a quantitative field like mathematics, statistics, or finance, and experience applying quantitative methods to real-world problems. Proficiency in statistical programming languages such as Python, R, or MATLAB, as well as expertise in data visualization tools and familiarity with databases, are highly valued, and certifications like CFA or FRM may be advantageous. Excellent communication, self-motivation, time management, and collaboration skills are essential for remote work, enabling you to explain complex findings clearly and work effectively across virtual teams. These abilities ensure accurate analysis, effective collaboration, and the delivery of actionable insights in a distributed work environment.

What is a Remote Quantitative Analyst job?

A Remote Quantitative Analyst is a professional who applies mathematical, statistical, and computational techniques to analyze financial data, build models, and support decision-making—while working from a remote location. They often work in industries like finance, investment banking, hedge funds, and fintech, focusing on risk management, trading strategies, and portfolio optimization. This role requires expertise in programming (Python, R, SQL), data analysis, and financial modeling. Remote Quantitative Analysts collaborate with teams via digital tools and must be self-motivated and detail-oriented.

What are the most commonly searched types of Quantitative Analyst jobs in Missouri? The most popular types of Quantitative Analyst jobs in Missouri are:
What are popular job titles related to Remote Quantitative Analyst jobs in Missouri? For Remote Quantitative Analyst jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Quantitative Analyst jobs in Missouri look for? The top searched job categories for Remote Quantitative Analyst jobs in Missouri are:
What cities in Missouri are hiring for Remote Quantitative Analyst jobs? Cities in Missouri with the most Remote Quantitative Analyst job openings:
Remote Quantitative Analyst jobs near you
Infographic showing various Remote Quantitative Analyst job openings in Missouri as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $125,577 per year, or $60.4 per hour.

UX Researcher, Data Analyst & Optimization Specialist

Jobgether

On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a UX Researcher, Data Analyst & Optimization Specialist based in Netherlands.

This role sits at the intersection of UX research, data analytics, and digital optimization, helping teams make smarter decisions through evidence-based insights.
You will transform user behavior data into actionable recommendations that improve customer experiences and business outcomes.
The position combines quantitative analysis with qualitative research to uncover not only what users do, but why they behave that way.
You will build journey maps, analyze conversion funnels, measure customer value, and support experimentation strategies.
Working closely with UX, design, and development teams, you will help create impactful improvements across digital experiences.
This opportunity is ideal for a data-driven researcher who enjoys solving complex problems and turning insights into measurable results.

Accountabilities:

The UX Researcher, Data Analyst & Optimization Specialist is responsible for creating the analytical and research foundation behind optimization initiatives. This role combines data expertise, user research, experimentation, and cross-functional collaboration to identify opportunities and support impactful digital improvements.

  • Build and maintain detailed customer journey maps and conversion funnels across key user touchpoints.
  • Analyze user behavior to identify friction points, drop-off areas, and opportunities for improving digital experiences.
  • Conduct quantitative analysis using tools such as Google Analytics 4, Shopify analytics, and related data platforms.
  • Develop and maintain LTV cohort analyses to connect user experience improvements with long-term customer value.
  • Ensure data accuracy, reliability, and integrity when collecting, validating, and interpreting performance insights.
  • Apply statistical principles to evaluate findings and ensure recommendations are supported by meaningful data.
  • Plan and conduct qualitative research activities, including usability testing, heuristic evaluations, and user interviews.
  • Combine qualitative and quantitative insights to create a complete understanding of user behavior.
  • Create research artifacts such as user flows, journey maps, wireflows, and prototypes to communicate findings.
  • Collaborate with developers to implement event tracking, improve measurement infrastructure, and maintain data visibility.
  • Support GA4 funnel creation, custom event tracking, and ongoing tracking quality assurance.
  • Contribute to A/B testing programs by defining hypotheses, measuring outcomes, and analyzing business impact.
  • Evaluate the long-term effects of UX changes on conversion, retention, and customer value.
  • Develop clear reports, dashboards, and presentations that transform complex analysis into actionable recommendations.
  • Partner with UX, design, development, and project teams to move insights into implemented improvements.
  • Manage multiple projects and deliver research and analysis according to business priorities.
Requirements:

The ideal candidate combines strong analytical expertise, UX research capabilities, and communication skills. They should be comfortable working with large datasets, conducting user research, and collaborating with multidisciplinary teams in a fast-paced environment.

  • 4-7 years of experience in e-commerce, UX research, product analytics, data analysis, or similar fields.
  • Strong experience with Google Analytics, Shopify ecosystems, and A/B testing platforms.
  • Solid understanding of quantitative analysis, statistics, and data visualization techniques.
  • Experience with journey mapping, funnel analysis, and LTV cohort analysis.
  • Knowledge of experimentation best practices, including hypothesis development and test design.
  • Strong understanding of user-centered design principles and design thinking methodologies.
  • Ability to combine qualitative and quantitative research methods to solve complex problems.
  • Experience creating reports, dashboards, and presentations that communicate insights effectively.
  • Ability to create UX artifacts such as wireframes, prototypes, user flows, and wireflows.
  • Experience collaborating with developers, designers, and project management teams.
  • Strong problem-solving skills with a structured and analytical approach.
  • Excellent written and verbal communication skills.
  • Ability to work independently while following strategic direction and managing multiple priorities.
  • Experience working with multiple clients or projects in a fast-paced environment is preferred.
Benefits:
  • Remote-first work environment with flexibility.
  • Comprehensive medical, dental, vision, disability, and life insurance coverage.
  • Employer contributions to retirement savings plans.
  • Employee assistance program.
  • Generous paid time off starting at 20 days annually, plus holidays.
  • Annual winter company shutdown between Christmas and New Year's for additional time to recharge.
  • Paid parental leave.
  • Company events, team activities, and retreats.
  • Budget for professional development and continuing education.
  • Competitive compensation aligned with experience, skills, and location.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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