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Remote Quantitative Data Analyst Jobs in Michigan

Huntington

Data Analyst III

Detroit, MI · On-site +1

$52K - $101K/yr

The Business Analyst 3 provides advanced support for assigned business process and/or system within ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Data Analyst III

Detroit, MI · On-site +1

$52K - $101K/yr

The Business Analyst 3 provides advanced support for assigned business process and/or system within ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Data Analyst III

Detroit, MI · On-site +1

$52K - $101K/yr

The Business Analyst 3 provides advanced support for assigned business process and/or system within ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Data Analyst III

Detroit, MI · On-site +1

$52K - $101K/yr

The Business Analyst 3 provides advanced support for assigned business process and/or system within ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Stryker

Pricing Analyst (Remote)

Three Rivers, MI · On-site +1

$83K - $122K/yr

Remote As a Pricing Analyst on Stryker's Customer Solutions team, you'll leverage data, analytics, and market insights to influence pricing and contracting strategies for some of our most important ...

Stryker

Staff Biostatistician (Remote)

Portage, MI · On-site +1

$124K - $207K/yr

Develop statistical analysis plans, including methodology, derived variables, data handling rules ... Master's degree in Statistics, Biostatistics, or a related quantitative field with medical research ...

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Remote Quantitative Data Analyst information

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 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 100% Full Time. Highlights an 100% Remote job distribution.

Quantitative Research Intern

Detroit Lions

Allen Park, MI • Remote

Part-time, Internship

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

The Remote Quantitative Research Intern position will be tasked with completing a quantitative research project to assist the club's Football Information department in identifying key insights. Most of the work in this role will be completed independently, with significant flexibility in scheduling.

Qualifications

  • Passion for the game of football
  • Intellectual curiosity and enthusiasm for answering questions with data
  • Ability to build statistical models in R or Python required
  • Coursework in statistics and/or machine learning required
  • Strong quantitative intuition
  • Self-directed, proactive, and able to work independently

Optional Supplemental Materials

  • If you have a deliverable from a prior data analytics project (e.g., an NFL Big Data bowl submission, thesis or class paper, well-documented GitHup repo, blog post, presentation slides, or detailed Twitter thread), please include it in or a link with your application
  • If you do not have any relevant projects, we do not expect you to complete one for the purpose of this application

Time Commitment

This is a remote, part-time position. Interns will focus on a single football research project over a 10-week period. Over the course of the 10 weeks, the intern will be expected to spend an average of 15 hours a week working on the project. The role is open to anyone who can meet this time commitment.

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