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Remote Junior Data Analyst Jobs in Michigan (NOW HIRING)

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

Mentor and provide guidance to junior data scientists and analysts, fostering a culture of continuous learning and innovation. Requirements * Bachelor's degree in Data Science, Computer Science ...

Job Title IT Systems Analyst III - Customer Data Hub (Data & Analytics) - Remote Requisition Number R7655 IT Systems Analyst III - Customer Data Hub (Data & Analytics) - Remote (Open) Location ...

Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ... Coach and mentor junior consultants and review modeling work for quality and rigor. * Support ...

Review work of peers and provide training to junior analysts * Develops and analyzes data related ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... Provide guidance, mentorship, and coaching to junior analysts * Contribute to team success by ...

Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

REMOTE Long Term contract Responsible for the planning, integration, test casing, scripting and ... Develop, document and maintain the test data, data validation, end to end testing flows.; Conducts ...

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Remote Junior Data Analyst information

See Michigan salary details

$30.1K

$69.2K

$111.1K

How much do remote junior data analyst jobs pay per year?

As of Aug 3, 2026, the average yearly pay for remote junior data analyst in Michigan is $69,163.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,700.00 and $71,000.00 per year, depending on experience, location, and employer.

What is a Remote Junior Data Analyst job?

A Remote Junior Data Analyst is an entry-level role where you analyze data to identify trends, generate reports, and help businesses make data-driven decisions—all while working remotely. Responsibilities typically include cleaning and organizing data, using tools like Excel, SQL, and Python, and visualizing insights with software like Tableau or Power BI. Strong analytical skills, attention to detail, and problem-solving abilities are essential. This role provides a great foundation for growth in data analytics and related fields.

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

To thrive as a Remote Junior Data Analyst, you need foundational skills in statistics, data interpretation, and spreadsheet management, often supported by a relevant degree or coursework in data analysis or related fields. Familiarity with tools such as SQL, Excel, Python, or data visualization software (like Tableau or Power BI) is highly valued, and basic certifications can be advantageous. Strong communication, problem-solving abilities, and self-motivation are essential for collaborating remotely and presenting findings clearly. These skills enable efficiency, accuracy, and meaningful contribution to data-driven decision-making in a distributed work environment.

What are typical daily responsibilities for a Remote Junior Data Analyst?

As a Remote Junior Data Analyst, your daily tasks often include collecting, organizing, and cleaning data, performing basic analyses, and producing reports or visualizations to support business decisions. You may use data management and analysis tools to uncover trends or spot inconsistencies, while collaborating with senior analysts or project managers via virtual meetings. Communication is mainly conducted through email, collaboration platforms, or video calls, and you will regularly update supervisors on your progress. Over time, you may be given more complex data challenges as you gain experience and demonstrate reliability. This role allows you to develop technical and analytical skills in a supportive, remote team environment.

What are the most commonly searched types of Remote Data Analyst jobs in Michigan? The most popular types of Remote Data Analyst jobs in Michigan are:
What job categories do people searching Remote Junior Data Analyst jobs in Michigan look for? The top searched job categories for Remote Junior Data Analyst jobs in Michigan are:
What cities in Michigan are hiring for Remote Junior Data Analyst jobs? Cities in Michigan with the most Remote Junior Data Analyst job openings:
Infographic showing various Remote Junior Data Analyst job openings in Michigan as of July 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $69,163 per year, or $33.3 per hour.

Senior Data Analyst

Canopy

Detroit, MI • On-site, Remote

$96K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


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Job description

Join Canopy, a Ford-backed company, at the forefront of engineering advanced threat detection and deterrence products specifically designed for vehicles. Our mission is to eliminate vehicle crime and enhance mobility through cutting-edge consumer hardware, aftermarket connectivity, and AI-driven security solutions. As part of our team, you'll be at the forefront of innovation, helping to solve one of today's most pressing challenges with cutting-edge solutions.
As a Senior Data Analyst reporting to the Team Manager of Core AI and Data, you will spearhead the design, development, and implementation of cutting-edge machine learning models and algorithms to address intricate business challenges. Your role will involve analyzing large datasets to identify meaningful patterns, trends, and relationships, using a combination of statistical methods, machine learning techniques, and data visualization tools. Additionally, you will be responsible for developing and validating approaches that ensure accuracy, robustness, and scalability for production deployment.
Responsibilities:
  • Lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex business problems.
  • Collaborate with cross-functional teams, including product managers, engineers, and business stakeholders, to identify data-driven opportunities and translate them into actionable insights.
  • Analyze large datasets to extract meaningful patterns, trends, and relationships, leveraging statistical methods, machine learning techniques, and data visualization tools.
  • Develop and validate approaches, ensuring accuracy, robustness, and scalability for deployment in production environments.
  • Communicate findings and recommendations to both technical and non-technical audiences through detailed reports, presentations, and data visualizations.
  • Mentor and provide guidance to junior data scientists and analysts, fostering a culture of continuous learning and innovation.

Requirements
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of experience in data science, with a strong background in statistical analysis, machine learning, and predictive modeling.
  • Proficiency in programming languages such as Python.
  • Strong expertise in SQL and experience working with large-scale databases and data processing frameworks.
  • Demonstrated ability to work with complex data sets, including data cleaning, transformation, and feature engineering.
  • Experience with data visualization tools such as Tableau, Grafana, or Matplotlib to present insights and results effectively.
  • Strong problem-solving skills, with the ability to work independently and manage multiple projects simultaneously.
  • Excellent communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications:
  • Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
  • Experience with deep learning techniques and frameworks such as TensorFlow, or PyTorch.
  • Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud.
  • Experience where data science has driven significant business outcomes.
  • Strong understanding of A/B testing, experimental design, and causal inference techniques.
  • Experience with MLOps practices, including model deployment, monitoring, and lifecycle management in production environments.
  • Reside within the Detroit area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed.

Benefits
  • Comprehensive medical benefits coverage, dental plans and vision coverage.
  • Health care and dependent care spending accounts.
  • Employee and Family Assistance Program (EAP).
  • Employee discount programs.
  • Retirement plan with a generous company match.
  • Generous Paid Time Off, Sick, and Holidays
  • Family Leave (Maternity, Paternity)
  • Short- and long-term disability
  • Life insurance and accidental death & dismemberment insurance

Compensation Range
Compensation may vary depending on skills and experience.
Base Salary: $96,900 - $132,300
Diversity, Equity and Inclusion: At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology. We will achieve this by prioritizing individuals and staying attuned to the evolving needs of our people, users, and industry trends. We foster a workplace culture that embraces diversity and authenticity, enabling us to flourish as a team of exceptional individuals working towards a common purpose. We gain a deeper understanding of our users' experiences by continuously improving our skills and expanding our knowledge. A more diverse, equitable, and inclusive Canopy leads to greater innovation and success.
Equal Opportunity: Canopy does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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