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Remote Quantitative Data Analyst Jobs in Michigan

Truck Hero

Pricing & Revenue Analyst - Senior

Ann Arbor, MI · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Skills and Abilities • Comprehensive knowledge of Microsoft Office and data analytics tools (e.g., PowerBI, Alteryx, Tableau). Familiarity with a variety of ERPs. • Ability to solve quantitative ...

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 ...

CSAA

  • Retirement

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

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All JobsQuantitative Data Analyst JobsRemote Quantitative Data Analyst JobsRemote Quantitative Data Analyst Jobs in Michigan

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.

Advisory Services Analyst - State Health & Medicaid (Remote Eligible)

Mathematica

Ann Arbor, MI • On-site, Remote

Full-time

Re-posted 15 days ago

Job description

We currently have openings for advisory services analystswith interest in health care policies and data analytics at the state level tosupport current and emerging programs.

Advisory services analysts will likely be connected to 1-3projects at a time, with many projects requiring work with multidisciplinaryteams and direct client contact. Projects may span across several policy and programmatic areas pertaining to healthcare delivery and Home and Community Based Services in California. Project content may include implementing alternative payment models, developing and maintaining clinical quality measures, supporting states with implementing tools to support analytics, or evaluating the effectiveness of state health programs.

Across all projects, advisory services analysts are expectedto:

  • Lead or participate actively and thoughtfully in project teams to implement, monitor, or evaluate policy and programms
  • Apply rigorous analytic thinking to the collection, analysis, and interpretation of qualitative or quantitative data
  • Develop expertise in Medicaid data, policy, and programmatic areas
  • Provide technical assistance to state and federal health agencies or healthcare providers by designing webinars or responding to questions from stakeholders.
  • Draft client memos, technical documentation, proposals and other contractual deliverables, such as chapters for reports, case studies, and/or data dictionaries.

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