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Amazon Data Analyst Jobs in Detroit, MI (NOW HIRING)

Pharmacy Manager, Amazon Pharmacy

Wixom, MI · On-site

$62.25 - $73.25/hr

... laboratory data, and concurrent medication (including over the counter and home remedies). • ... analyze quantitatively, problem-solve, support scope of requirements and prioritize. - Able to ...

Amazon Brand Manager Location: Fully Remote Schedule: Full time, exempt Compensation: $60-$85k per ... analyzing data or finding the story within a spreadsheet report * Need perfect SOPs and fully built ...

Enhance data capabilities using T3 product portfolio, identifying exclusive first-party data to be ... Knowledge of major media platforms such as Amazon, TikTok, Meta, and Google, and experience working ...

Data Architect Specialist

Dearborn, MI · On-site

$58.50 - $75.25/hr

Master's degree in Business, Data Science, Analytics, or a related field. * Experience with cloud platforms such as Amazon Web Services, Microsoft, or Google. * Familiarity with SQL, Python, data ...

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... to analyze accident data, new processes, and machinery for potential safety concerns and conduct ...

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... to analyze accident data, new processes, and machinery for potential safety concerns and conduct ...

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Amazon Data Analyst information

See Detroit, MI salary details

$31.1K

$75.6K

$124.4K

How much do amazon data analyst jobs pay per year?

As of Aug 31, 2026, the average yearly pay for amazon data analyst in Detroit, MI is $75,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,200.00 and $88,800.00 per year, depending on experience, location, and employer.

What is an Amazon data analyst?

An Amazon Data Analyst is responsible for collecting, analyzing, and interpreting large datasets to help drive business decisions. They work with teams across the company to identify trends, optimize processes, and improve efficiency using data-driven insights. Their role often involves using SQL, Python, Excel, and visualization tools like Tableau or Power BI. Strong analytical skills and attention to detail are essential for making informed recommendations that impact operations, sales, or customer experience.

What are the key skills and qualifications needed to thrive as an Amazon data analyst?

To thrive as an Amazon Data Analyst, you need strong analytical skills, experience with statistical methods, and a relevant degree in fields such as Data Science, Mathematics, or Computer Science. Proficiency with SQL, Python, Excel, and data visualization tools like Tableau or AWS QuickSight, along with certifications in data analytics or cloud platforms, is highly valued. Strong attention to detail, problem-solving abilities, and effective communication skills enable you to translate complex data into actionable insights for stakeholders. These competencies are critical for driving data-driven decision-making and supporting Amazon's fast-paced, results-oriented business environment.

What are some typical challenges Amazon data analysts face, and how can they overcome them?

Amazon Data Analysts often work with large, complex datasets and must ensure the accuracy and reliability of their analyses in a fast-paced environment. Navigating multiple data sources, integrating new technologies, and adapting to changing business priorities are common challenges. Successful analysts proactively collaborate with cross-functional teams, stay up to date on the latest analytical tools, and prioritize effective communication to translate technical findings into business recommendations. Seeking mentorship and ongoing learning opportunities can also help analysts stay ahead in this dynamic role.

How do I join Amazon as a data analyst?

To join Amazon as a data analyst, candidates typically need a bachelor's degree in a related field such as data science, statistics, or computer science, along with strong analytical skills and experience with tools like SQL, Python, or R. Applying through Amazon's careers website and demonstrating relevant experience and technical proficiency are essential steps in the hiring process.

What are top 3 soft skills for an Amazon Data Analyst?

The top three soft skills for an Amazon Data Analyst are strong analytical thinking, effective communication, and problem-solving abilities. These skills enable analysts to interpret complex data, present insights clearly, and collaborate with cross-functional teams in a fast-paced environment.

What are the most commonly searched types of Amazon Data Analyst jobs in Detroit, MI?

The most popular types of Amazon Data Analyst jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Amazon Data Analyst jobs?

Cities near Detroit, MI with the most Amazon Data Analyst job openings:

Infographic showing various Amazon Data Analyst job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $75,615 per year, or $36.4 per hour.

AI & Data Solutions Analyst - Technical Safety & Regulatory Compliance

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 3 hours ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

14th of 45 rated automakers


Job description

Overview:
The AI & Data Solutions Analyst supports the Technical Safety and Regulatory Compliance (TSRC) organization by executing AI and data-driven initiatives that enhance safety investigations, regulatory reporting, and operational decision-making. This role combines data ownership, analytics execution, and AI use case delivery, acting as a key contributor in translating business needs into scalable AI and data solutions.
Key Responsibilities:
AI Use Case Delivery:
- Support identification, definition, and execution of AI use cases aligned with TSRC priorities
- Coordinate development, testing, and deployment of AI solutions
- Track adoption, usage, and business impact of AI initiatives
  • Data Ownership & Governance:

- Ensure TSRC data is defined, structured, and compliant with governance standards
- Validate data quality and readiness for analytics and AI
- Document data sources, flows, and business rules
  • Data Analysis & Reporting:

- Analyze safety and regulatory data to identify trends and insights
- Develop dashboards and reports (Power BI)
- Support data-driven decision-making across TSRC
  • Process Automation:

- Develop solutions using Power Apps and Power Automate
- Identify and implement workflow automation opportunities
  • Project Support:

- Manage assigned workstreams and deliverables
- Track timelines, risks, and project milestones
  • Stakeholder Engagement:

- Collaborate with TSRC, ICT, and business stakeholders
- Support training and adoption of tools
Basic Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or related field
  • 7+ years of experience in data analytics or AI-related roles
  • Experience with Power BI, Palantir, Power Apps, or Power Automate
  • Strong analytical and problem-solving skills

Preferred Qualifications:
  • Experience with AI tools or platforms
  • Exposure to Python or SQL
  • Experience in regulatory or compliance environment
  • Experience with Microsoft Azure/Google Cloud Platform/Amazon Web Services
  • Willingness to learn
  • Analytical thinking and data-driven mindset
  • Attention to detail and governance discipline
  • Strong communication and collaboration skills

What Stellantis employees say

Pay

Benefits

Hours and flexibility

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