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Remote Excel Data Analyst Jobs in Troy, MI (NOW HIRING)

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 ...

Microsoft Excel Tutor

Detroit, MI · Remote

$18 - $40/hr

What We Look For In a Microsoft Excel Tutor * Advanced Subject Mastery: Deep knowledge of ... Ability to explain cell referencing, formula nesting, and data analysis workflows while preparing ...

We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with ... Collect and analyze data to gain insights into user behaviour, product usage, and marketing ...

We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with ... Collect and analyze data to gain insights into user behaviour, product usage, and marketing ...

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 ...

Data Analysis Tutor

Detroit, MI · Remote

$18 - $40/hr

Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ... data analysis capabilities. * Effective Teaching Methods: Ability to identify concepts students ...

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Remote Excel Data Analyst information

See Troy, MI salary details

$32.2K

$78.3K

$128.9K

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

As of Aug 7, 2026, the average yearly pay for remote excel data analyst in Troy, MI is $78,325.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,200.00 and $91,900.00 per year, depending on experience, location, and employer.

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

AspectRemote Excel Data AnalystRemote Data Analyst
Required SkillsExcel, data analysis, basic SQLExcel, SQL, data visualization, statistical tools
CertificationsExcel certifications, data analysis coursesData analysis certifications, SQL certifications
Work EnvironmentRemote, primarily working with Excel filesRemote, using various data tools and platforms
Industry UsageFinance, marketing, operationsFinance, healthcare, tech, marketing

The Remote Excel Data Analyst primarily focuses on analyzing data using Excel and related tools, often in industries like finance and marketing. In contrast, the Remote Data Analyst typically works with a broader set of data tools, including SQL and visualization software, across diverse industries. Both roles are remote and require strong analytical skills, but the Remote Data Analyst usually demands a wider technical skill set.

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

To excel as a Remote Excel Data Analyst, you need strong analytical skills, advanced proficiency in Microsoft Excel, and a solid understanding of data management principles, often supported by a degree in a related field. Familiarity with Excel functions, PivotTables, VBA scripting, and data visualization tools like Power BI or Tableau is typically required. Attention to detail, problem-solving ability, and effective communication are essential soft skills for interpreting data and collaborating with remote teams. These skills ensure accurate data analysis, clear reporting, and impactful business insights in a virtual environment.

How does a remote Excel data analyst typically collaborate with team members while working offsite?

As a Remote Excel Data Analyst, collaboration is often managed through digital communication tools such as Slack, Microsoft Teams, and email. Analysts frequently share spreadsheets, conduct screen-sharing sessions, and participate in virtual meetings to discuss findings or review data together. Clear documentation and version control of Excel files are crucial to ensure everyone is aligned. Regular check-ins and updates help maintain transparency and foster teamwork, despite the physical distance.

What does a remote Excel data analyst do?

A Remote Excel Data Analyst is responsible for collecting, organizing, and analyzing data using Microsoft Excel while working from a remote location. They use advanced Excel functions and tools to create reports, visualize data, and provide insights that help businesses make informed decisions. Tasks may include cleaning and validating data, building dashboards, automating processes with formulas or macros, and collaborating with teams online. Strong attention to detail and proficiency in Excel are essential for this role.
What are popular job titles related to Remote Excel Data Analyst jobs in Troy, MI? For Remote Excel Data Analyst jobs in Troy, MI, the most frequently searched job titles are:
What job categories do people searching Remote Excel Data Analyst jobs in Troy, MI look for? The top searched job categories for Remote Excel Data Analyst jobs in Troy, MI are:
What cities near Troy, MI are hiring for Remote Excel Data Analyst jobs? Cities near Troy, MI with the most Remote Excel Data Analyst job openings:
Infographic showing various Remote Excel Data Analyst job openings in Troy, MI as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $78,325 per year, or $37.7 per hour.

Senior Data Analyst

Canopy

Detroit, MI • On-site, Remote

$96K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 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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