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Amazon Business Intelligence Jobs in Michigan (NOW HIRING)

Data / BI Architect

Pontiac, MI · On-site

$63.25 - $81.50/hr

Collaborate with business functions to design, develop, and deploy artificial intelligence and ... MS Visio, Microsoft 365 Services, XML, ANSI SQL, Oracle, Microsoft SQL Server, Postgres, Amazon RDS ...

Programmer Analyst 6

Lansing, MI · On-site

$58 - $63/hr

... business intelligence and data analysis requirements. * Architect and implement end-to-end data pipelines using AWS services such as Amazon S3, Glue, Lambda, EMR, Redshift, Kinesis, and SageMaker

Senior Data Product Manager

Dearborn, MI · On-site

$116K - $153K/yr

... Business Intelligence, Analytics, or related experience. * Strong understanding of data warehousing ... Experience with cloud platforms such as Amazon Web Services, Microsoft, or Google. * Familiarity ...

Data Architect Specialist

Dearborn, MI

$58.50 - $75.25/hr

... Business Intelligence, Analytics, or related experience. * Strong understanding of data warehousing ... Experience with cloud platforms such as Amazon Web Services, Microsoft, or Google. * Familiarity ...

Cyber - AWS Cloud Security - Manager

Detroit, MI · On-site

$109K - $148K/yr

... of Amazon Web Services (AWS) cloud security solutions aligned to client business, risk, and ... intelligence (AI), machine learning (ML), generative AI, and agentic AI workloads on AWS, including ...

Cyber - AWS Cloud Security - Manager

Grand Rapids, MI · On-site

$106K - $144K/yr

... of Amazon Web Services (AWS) cloud security solutions aligned to client business, risk, and ... intelligence (AI), machine learning (ML), generative AI, and agentic AI workloads on AWS, including ...

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Amazon Business Intelligence information

See Michigan salary details

$25.7K

$99.6K

$146K

How much do amazon business intelligence jobs pay per year?

As of Aug 8, 2026, the average yearly pay for amazon business intelligence in Michigan is $99,589.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $124,200.00 per year, depending on experience, location, and employer.

Is Amazon Business Intelligence a high paying job?

Amazon Business Intelligence roles are generally well-compensated, often offering salaries above industry averages for data analysis and analytics positions. Compensation can vary based on experience, location, and specific responsibilities, with additional benefits such as stock options and bonuses common in large tech companies.

What are the key skills and qualifications needed to thrive in the Amazon Business Intelligence position?

To thrive as an Amazon Business Intelligence professional, you need strong analytical skills, proficiency in data modeling, statistics, and a relevant degree in fields such as Computer Science, Engineering, or Business. Expertise with SQL, data visualization tools like Tableau or QuickSight, and experience with AWS technologies are highly valued, while certifications in analytics or cloud computing can be advantageous. Excellent problem-solving, effective communication, and stakeholder management are standout soft skills for this position. These competencies ensure accurate data-driven decision making and efficient collaboration within complex, fast-paced business environments.

What does a business intelligence engineer do in Amazon?

A business intelligence engineer at Amazon designs and develops data models, dashboards, and reports to analyze business performance. They work with large datasets using tools like SQL, AWS, and Tableau to provide insights that support decision-making and strategic planning.

What is an Amazon Business Intelligence?

An Amazon Business Intelligence (BI) job involves analyzing large datasets to generate insights that drive business decisions. BI professionals use tools like SQL, Python, and data visualization platforms to create reports and dashboards. They work with various teams to optimize processes, track key performance indicators (KPIs), and improve efficiency. Strong analytical skills and a deep understanding of Amazon's business operations are essential for success in this role.

What does an Amazon Business Intelligence do?

Professionals in Amazon Business Intelligence roles typically spend their days gathering, analyzing, and interpreting data to support business decisions and strategy. They frequently create dashboards, generate reports, and collaborate closely with business stakeholders, product managers, and engineering teams to translate business needs into actionable insights. The role often involves problem-solving, troubleshooting data inconsistencies, and presenting findings to both technical and non-technical audiences. A focus on continuous improvement and learning new data tools is also common, helping professionals stay at the forefront of Amazon’s rapidly evolving business landscape.

What are popular job titles related to Amazon Business Intelligence jobs in Michigan? For Amazon Business Intelligence jobs in Michigan, the most frequently searched job titles are:
Infographic showing various Amazon Business Intelligence job openings in Michigan as of August 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $99,589 per year, or $47.9 per hour.

Data / BI Architect

Tech Tammina LLC

Pontiac, MI • On-site

$63.25 - $81.50/hr

Contractor

Re-posted 5 days ago


Job description

Role: Data / BI Architect

Location: Pontiac, MI

Work Schedule: Hybrid On-site/Remote (This is a hybrid role and will require someone in office 2 days per week)
Duration: 12 Months+

Rate: Market

  • Provides technical direction to IT for a variety of data and artificial intelligence projects including data warehouse, business intelligence, data modelling and source data optimization initiatives.
  • Develops conceptual, logical, and physical data models and architectures.
  • Provides metadata strategies and data integration design.
  • Provides technical infrastructure design and implements scalable and data architectures that support business objectives.
  • Develop, test, and maintain data pipelines, ETL processes, and data integration solutions.
  • Collaborate with cross-functional teams to gather requirements and deliver high-quality data solutions.
  • Collaborate with business functions to design, develop, and deploy artificial intelligence and machine learning solutions to enhance business processes, as well as drive data-driven decision-making and innovation.

Environment: MS Visio, Microsoft 365 Services, XML, ANSI SQL, Oracle, Microsoft SQL Server, Postgres, Amazon RDS, Crystal Reports XI, SAP, Business Objects, Informatica, Trillium, Snowflake, Microsoft Power BI, Tableau, R Programming for data visualizations, Python, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks), SQL, NoSQL databases.