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Remote Data Analyst 1099 Jobs in Rochester Hills, MI

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

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 ...

Senior Data Analyst

Detroit, MI · Remote

$96K - $132K/yr

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 ...

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 Insurance Agent

Detroit, MI · Remote

$60K - $110K/yr

Remote Insurance Sales Agent | $60k-$110k+ First Year | No Cold Calling Earn strong first-year ... with applicable data protection laws. (US only) 1099=independent contractor, not employee.

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

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Remote Data Analyst 1099 information

See Rochester Hills, MI salary details

$31.3K

$76.1K

$125.2K

How much do remote data analyst 1099 jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote data analyst 1099 in Rochester Hills, MI is $76,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $89,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote data analyst 1099?

To thrive as a Remote Data Analyst 1099, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, computer science, or economics. Familiarity with data visualization tools (such as Tableau or Power BI), programming languages (like Python or R), and database systems (like SQL) is typically essential. Excellent communication, time management, and self-motivation are vital soft skills, especially when working independently. These abilities are crucial for delivering accurate, insightful analyses and meeting client expectations in a remote, contract-based environment.

What is the difference between Remote Data Analyst 1099 vs Remote Data Analyst?

AspectRemote Data Analyst 1099Remote Data Analyst
Employment TypeIndependent contractor (1099)W-2 employee
Tax & BenefitsResponsible for own taxes, no employer benefitsTaxes withheld by employer, benefits provided
Work EnvironmentSelf-managed, flexible hoursCompany-managed, standard hours
CredentialsTypically requires relevant data analysis certifications or degrees

Remote Data Analyst 1099 roles offer flexibility and independence, suitable for those who prefer self-employment. In contrast, Remote Data Analysts as W-2 employees receive benefits and have a more structured work environment. Both roles often require similar skills and credentials, but employment status impacts taxes and benefits.

What is a remote data analyst 1099?

A Remote Data Analyst 1099 is an independent contractor who works from a remote location to collect, process, and analyze data for organizations. Unlike traditional employees, 1099 analysts are self-employed and typically work on a project or contract basis, invoicing clients rather than receiving a salary. Their responsibilities may include generating reports, identifying data trends, and providing actionable insights to help businesses make informed decisions. Working remotely, they use various software tools to collaborate with teams and manage data securely.

What are some common challenges faced by remote data analyst 1099 contractors, and how can they be addressed?

Remote Data Analyst 1099 contractors often face challenges such as managing multiple client expectations, ensuring secure data access, and maintaining clear communication across virtual teams. To address these, it’s important to establish structured communication channels, clarify deliverables upfront, and use secure, cloud-based platforms for data sharing. Additionally, effective time management and regular check-ins with clients can help maintain workflow transparency and build strong professional relationships.
What are popular job titles related to Remote Data Analyst 1099 jobs in Rochester Hills, MI? For Remote Data Analyst 1099 jobs in Rochester Hills, MI, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst 1099 jobs in Rochester Hills, MI look for? The top searched job categories for Remote Data Analyst 1099 jobs in Rochester Hills, MI are:
What cities near Rochester Hills, MI are hiring for Remote Data Analyst 1099 jobs? Cities near Rochester Hills, MI with the most Remote Data Analyst 1099 job openings:

Senior Data Analyst

Canopy

Detroit, MI • On-site, Remote

$96K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 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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