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Remote Data Analytics Instructor Jobs in Ann Arbor, MI

Workiva

Spring 2027 Intern - Data Analytics

Ann Arbor, MI · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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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.

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Remote Data Analytics Instructor information

See Ann Arbor, MI salary details

$23

$53

$92

How much do remote data analytics instructor jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for remote data analytics instructor in Ann Arbor, MI is $53.56, according to ZipRecruiter salary data. Most workers in this role earn between $43.03 and $60.67 per hour, depending on experience, location, and employer.

What does a remote data analytics instructor do?

A Remote Data Analytics Instructor teaches students data analysis concepts and tools through online platforms. They develop and deliver course materials, lead live or recorded lessons, and provide feedback on assignments. Instructors often cover topics like data visualization, statistical analysis, and using software such as Excel, Python, or SQL. Their goal is to help students gain practical skills for analyzing and interpreting data in real-world scenarios.

What are the key skills and qualifications needed to thrive as a remote data analytics instructor?

To thrive as a Remote Data Analytics Instructor, you need a strong background in data analytics, statistics, and teaching, usually demonstrated by a relevant degree and industry experience. Familiarity with data analysis tools such as Excel, SQL, Python, R, and learning management systems (LMS) is essential, along with certifications like Tableau or Google Data Analytics. Excellent communication, patience, and the ability to engage and motivate remote learners are valuable soft skills in this role. These skills ensure effective instruction, student engagement, and successful learning outcomes in a virtual environment.

What are some common challenges faced by remote data analytics instructors, and how can they be effectively managed?

Remote Data Analytics Instructors often encounter challenges such as maintaining student engagement in a virtual setting, addressing diverse learning paces, and ensuring clear communication despite not being physically present. To manage these, instructors can leverage interactive teaching tools, schedule regular check-ins, and provide a variety of learning resources to accommodate different student needs. Building a supportive online community and encouraging active participation also help foster a collaborative and effective learning environment.

What is the difference between Remote Data Analytics Instructor vs Remote Data Analyst?

AspectRemote Data Analytics InstructorRemote Data Analyst
Required CredentialsTypically a degree in data science, analytics, or related field; teaching certifications are a plusDegree in data science, statistics, or related field; often requires proficiency in analytics tools
Work EnvironmentOnline teaching platforms, educational institutions, corporate trainingRemote offices, companies, or consulting firms
Employer & Industry UsageEducational institutions, online course providers, corporate training programsBusinesses across industries, consulting firms, finance, healthcare, tech

While both roles involve data skills, a Remote Data Analytics Instructor focuses on teaching and curriculum development in educational settings, whereas a Remote Data Analyst applies data analysis techniques directly to business problems. The roles share similar credentials but differ mainly in their primary responsibilities and work environments.

What are popular job titles related to Remote Data Analytics Instructor jobs in Ann Arbor, MI?

For Remote Data Analytics Instructor jobs in Ann Arbor, MI, the most frequently searched job titles are:

What job categories do people searching Remote Data Analytics Instructor jobs in Ann Arbor, MI look for?

The top searched job categories for Remote Data Analytics Instructor jobs in Ann Arbor, MI are:

What cities near Ann Arbor, MI are hiring for Remote Data Analytics Instructor jobs?

Cities near Ann Arbor, MI with the most Remote Data Analytics Instructor job openings:

Remote Data Analytics Instructor jobs near you
Infographic showing various Remote Data Analytics Instructor job openings in Ann Arbor, MI as of June 2026, with employment types broken down into 5% Internship, 57% Full Time, 33% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $111,406 per year, or $53.6 per hour.

Healthcare Data and Analytics Specialist - Remote - USA

FullStack Labs

Detroit, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

About FullStack
FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.1-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
We're looking to hire a Healthcare Data and Analytics Specialist to join our team. You'll work with our incredible clients in one of two ways:
  • Team Augmentation: You will integrate directly into our client's team and work alongside their existing designers and engineers daily.
  • Design & Build: You will work on a FullStack product team to build and deliver a product to our clients.

What We Are Looking For
  • 5+ years of professional software engineering, data analysis, or data operations experience.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Deep experience in working with healthcare data, including medical claims, pharmacy claims, eligibility, enrollment, or payer/TPA/PBM benefits.
  • Expertise in using SQL to join complex datasets, investigate discrepancies, and construct maintainable analytical logic.
  • Solid background in healthcare data validation, reconciliation, data quality monitoring, and data operations workflows.
  • Solid understanding of healthcare claims structures, terminology, utilization, and financial metrics (such as allowed and paid amounts).
  • Track record of creating recurring analytical reporting, data dictionaries, and metric definitions for clients, employers, or executives.
  • Demonstrated experience investigating data issues and tracing discrepancies through different stages of a data ecosystem.
  • Comfortable working with relational databases (such as PostgreSQL) and familiar with file transmissions like SFTP, flat files, or APIs.
  • Knowledgeable in HIPAA compliance, protected health information (PHI) regulations, and healthcare data security controls.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile/Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on the commitments you and your team make to them.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave. parental leave, and holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .
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About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

Social media

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