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Remote Quantitative Data Analyst Jobs in Michigan

Pyrovio

Project Controls Analyst

Ann Arbor, MI · Remote

This remote role may require occasional travel to client sites located in Ohio, Pennsylvania ... Experience using Excel for data analysis, including vlookups, xlookups and pivot tables * Ability ...

CSAA

  • Retirement

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... Strong research and analytical (quantitative and/or qualitative) skills with ability to perform ...

First American

Senior Business Analyst (Remote- US)

Three Rivers, MI · Remote

$85K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Leads Data Analysis : market, financial, operations, organizational data analysis and synthesizes large volumes of data to identify trends, derive insights, validate hypothesis and inform decisions

WilsonCTS

Lead Analyst, ERP Workstream

Portage, MI · Remote

$40 - $46/hr

Strong attention to detail and ability to organize and analyze data accurately. * Ability to work effectively in a fully remote environment. Preferred Qualifications * Experience supporting ERP ...

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Remote Quantitative Data Analyst information

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.

Is it possible to work remotely as a remote quantitative data analyst?

Yes, remote quantitative data analyst positions are common and often involve analyzing large datasets, using tools like SQL, Python, or R. Many companies offer remote roles with flexible schedules, requiring strong analytical skills and experience with data visualization and statistical methods.

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 Michigan?

The most popular types of Quantitative Data Analyst jobs in Michigan are:

What are popular job titles related to Remote Quantitative Data Analyst jobs in Michigan?

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

What job categories do people searching Remote Quantitative Data Analyst jobs in Michigan look for?

The top searched job categories for Remote Quantitative Data Analyst jobs in Michigan are:

What cities in Michigan are hiring for Remote Quantitative Data Analyst jobs?

Cities in Michigan with the most Remote Quantitative Data Analyst job openings:

Remote Quantitative Data Analyst jobs near you
Infographic showing various Remote Quantitative Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Product Development Chemist - AI Trainer - Remote

micro1 AI

Dearborn, MI • Remote

$70 - $90/hr

Part-time

Posted 17 days ago

Job description

Role Title: Chemistry Specialist


Role Type: Contractor


Location: Remote


micro1 is engaging Chemistry Specialists to participate in a project supporting a leading customer in the scientific and research domain. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Conduct qualitative and quantitative chemical analyses and experiments to support product development, quality control, or process optimization.
  2. Design and interpret complex laboratory experiments involving chemical reactions, synthesis, and separation techniques.
  3. Document laboratory methodologies, data, and findings clearly and accurately, ensuring reproducibility and scientific integrity.
  4. Critically evaluate experimental outcomes to propose improvements or new investigative approaches.
  5. Collaborate and communicate effectively in written and verbal formats with project stakeholders, providing insights and recommendations.
  6. Translate intricate chemistry concepts and experimental results into clear, actionable information for non-specialist audiences.
  7. Contribute domain-specific expertise to enhance the training datasets and reasoning capabilities of AI systems.


Preferred Qualifications

  1. Advanced degree (PhD preferred) in Chemistry or closely related field.
  2. Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.
  3. Deep understanding of chemical reactions, analytical chemistry, and laboratory best practices.
  4. Demonstrated critical thinking skills and a record of innovative problem-solving in research or applied chemistry settings.
  5. Strong written and verbal communication skills, with the ability to convey technical concepts clearly.
  6. Experience contributing to interdisciplinary projects or cross-functional collaborations.
  7. Familiarity with quality control protocols, safety standards, and regulatory guidelines is a plus.

Apply