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Aws Data Analytics Jobs in Michigan (NOW HIRING)

First Citizens Bank

$79K - $99K/yr

Builds dashboards to modernize analytics and assists management with special data projects ... Experience in Banking, Regulatory, Data Warehouse/Data Lakes, AWS/ Snowflake * Proven track record ...

First Citizens Bank

$79K - $99K/yr

Builds dashboards to modernize analytics and assists management with special data projects ... Experience in Banking, Regulatory, Data Warehouse/Data Lakes, AWS/ Snowflake * Proven track record ...

First Citizens Bank

$79K - $99K/yr

Builds dashboards to modernize analytics and assists management with special data projects ... Experience in Banking, Regulatory, Data Warehouse/Data Lakes, AWS/ Snowflake * Proven track record ...

First Citizens Bank

$79K - $99K/yr

Builds dashboards to modernize analytics and assists management with special data projects ... Experience in Banking, Regulatory, Data Warehouse/Data Lakes, AWS/ Snowflake * Proven track record ...

Pwc

Data Engineer - Senior Manager

Detroit, MI

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data ...

Pwc

Data Engineer - Senior Manager

Grand Rapids, MI

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data ...

BISSELL Homecare

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Support the integration of AI and machine learning capabilities into data workflows using AWS Bedrock and SageMaker; ensure data pipelines are clean, well-structured, and optimized for analytics and ...

HCLTech

Data Analyst

Farmington Hills, MI

Google Cloud Platform (GCP), AWS, or Azure cloud certification or Experience working with cloud-based data platforms, data warehouses, and modern analytics ecosystems. * Demonstrated ability to ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Scripting: Proficiency in Python for automation, data analysis, or scripting. * Cloud Platforms: Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks). * Data Modeling:

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Proficiency in Python for automation, data analysis, or scripting. • Cloud Platforms: Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks). • Data Modeling: Familiarity ...

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Aws Data Analytics information

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How much do aws data analytics jobs pay per year?

As of Aug 31, 2026, the average yearly pay for aws data analytics in Michigan is $110,509.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,987.00 and $136,995.00 per year, depending on experience, location, and employer.

What is an AWS Data Analytics?

An AWS Data Analytics job involves designing, implementing, and managing data solutions using AWS services. Professionals in this role work with tools like AWS Glue, Amazon Redshift, AWS Lambda, and Amazon QuickSight to collect, process, and analyze large datasets. They help organizations make data-driven decisions by building scalable and efficient analytics pipelines. The role requires knowledge of cloud computing, data warehousing, big data technologies, and security best practices.

What are the daily responsibilities of an AWS Data Analytics professional?

In an AWS Data Analytics role, your daily activities may include designing and maintaining cloud-based data pipelines, processing and transforming large datasets, performing advanced data queries, and generating reports or dashboards for stakeholders. You will often collaborate with software engineers, data scientists, and business analysts to ensure data solutions are reliable and align with organizational goals. Continuous monitoring for performance optimization and troubleshooting any pipeline or infrastructure issues are also critical parts of the job. This dynamic environment offers the chance to work on diverse projects, enhancing both technical expertise and business understanding.

What are the key skills and qualifications needed to thrive in AWS Data Analytics?

To succeed in an AWS Data Analytics role, you need a strong background in data analysis, cloud computing, and database management, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, Glue, Athena, and SageMaker, as well as certifications such as AWS Certified Data Analytics, are highly valued. Critical thinking, collaboration, and effective communication skills help professionals interpret data insights and work efficiently with cross-functional teams. Mastery of these abilities ensures accurate, scalable data solutions and facilitates impactful business decision-making in cloud environments.

Are AWS Data Analytics jobs still in demand?

AWS Data Analytics jobs remain in high demand due to the increasing adoption of cloud-based data solutions and the need for expertise in tools like AWS Glue, Redshift, and Athena. Professionals with skills in data processing, cloud architecture, and certifications such as AWS Certified Data Analytics are sought after across various industries.

What are the most commonly searched types of Aws Data Analytics jobs in Michigan?

The most popular types of Aws Data Analytics jobs in Michigan are:

What are popular job titles related to Aws Data Analytics jobs in Michigan?

For Aws Data Analytics jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Aws Data Analytics jobs in Michigan look for?

The top searched job categories for Aws Data Analytics jobs in Michigan are:

Aws Data Analytics jobs near you
Infographic showing various Aws Data Analytics job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $110,509 per year, or $53.1 per hour.

Project Manager - Data Analytics

Royal Oak, MI • On-site

Apetan Consulting llc
IT Services • 1 - 10 employees
Learn more about Apetan Consulting llcexternal

$50 - $55/hr

Contractor

Re-posted 11 days ago

Job description

 Role: Project Manager – Data Analytics

Location: Royal Oak MI Hybrid

 

Job Summary

We are seeking an experienced Project Manager – Data Analytics to lead enterprise-scale analytics initiatives. The ideal candidate will have a strong understanding of Data Analytics, Data Lakes, Data Pipelines, ETL processes, and modern cloud-based analytics platforms, along with proven experience managing cross-functional technical teams and delivering data-driven projects.

Required Skills

  • 8+ years of IT experience with 3+ years as a Project Manager.
  • Strong experience managing Data Analytics and Data Engineering projects.
  • Hands-on understanding of:
    • Data Lakes (Azure Data Lake, AWS S3, Databricks, Snowflake, etc.)
    • Data Pipelines
    • ETL/ELT processes
    • Data Warehousing
    • Data Integration
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Familiarity with SQL and analytics/reporting tools like Power BI, Tableau, or Looker.
  • Experience working with Agile/Scrum methodologies.
  • Strong stakeholder management and communication skills.

Preferred Skills

  • Experience with Databricks, Snowflake, Azure Data Factory, Apache Spark, Kafka, Airflow, or similar technologies.
  • Knowledge of data governance, data quality, and metadata management.
  • PMP, Scrum Master, or Agile certification.

Responsibilities

Lead end-to-end delivery of Data Analytics and Data Engineering projects.

Coordinate with business stakeholders, architects, data engineers, and analytics teams.

Manage project scope, timelines, budgets, risks, and dependencies.

Oversee implementation of data lakes, data pipelines, and analytics solutions.

Ensure project delivery aligns with business objectives and quality standards.

Drive Agile ceremonies and provide regular status updates to leadership.

                Identify and mitigate project risks while ensuring timely delivery