1

Delivery Data Analyst Jobs in Michigan (NOW HIRING)

The Digital Asset Analyst acts as a liaison between DRiV, Inc and the customer in areas relating to, but not limited to, digital asset delivery, data requirements and strategic initiatives. The ...

Enterprise Data Architect

Livonia, MI · On-site

$104 - $163/hr

BI Delivery Leader and BI Developers:** Align on semantic layer and metric definitions built on the governed model.* **Technical Product Owner and Business Data Analyst:** Partner on intake to ...

New

Experience delivering analytics and AI solutions that drive measurable business value ... Experience with MDM technologies, data quality frameworks, metadata management, and AI/ML platforms ...

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree in Computer Science (or a related technical field.). * 3+ years of professional experience technical project delivery, data engineering, or analytics platform implementation.

Data Governance Analyst

Dearborn, MI · On-site

  • Medical

  • Dental

  • Life

  • PTO

Experience with project-management methods and frameworks, including Agile delivery practices ... Experience using data analytics and reporting tools, such as GCP BigQuery, Alteryx, R, Python, or ...

Showing results 41-60

Delivery Data Analyst information

What are the key skills and qualifications needed to thrive as a delivery data analyst, and why are they important?

To thrive as a Delivery Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a relevant degree in fields like statistics, mathematics, or computer science. Familiarity with data analysis tools such as SQL, Excel, Tableau, and programming languages like Python or R is typically required, along with experience using project management systems. Outstanding problem-solving, attention to detail, and effective communication skills are crucial for translating data insights into actionable recommendations for stakeholders. These competencies enable analysts to drive operational improvements and support data-driven decision-making within delivery and logistics environments.

How does a delivery data analyst typically collaborate with cross-functional teams to improve delivery efficiency?

As a Delivery Data Analyst, you'll work closely with operations, logistics, and IT teams to identify trends and bottlenecks in the delivery process. Your role often involves gathering and analyzing data, then presenting actionable insights to stakeholders to support decision-making. Effective collaboration means translating complex datasets into clear recommendations, participating in regular team meetings, and sometimes training colleagues on data-driven tools. This cross-functional teamwork is essential for streamlining delivery operations and achieving key performance targets.

What is a delivery data analyst?

Delivery Data Analysts are professionals who collect, analyze, and interpret data related to the delivery of products or services. They use data-driven insights to optimize delivery operations, improve efficiency, and enhance customer satisfaction. These analysts often work with large datasets, create reports, and collaborate with logistics, operations, and IT teams to identify trends, forecast demand, and resolve delivery challenges. Their work helps organizations streamline processes and make informed decisions to achieve better business outcomes.

What job categories do people searching Delivery Data Analyst jobs in Michigan look for?

The top searched job categories for Delivery Data Analyst jobs in Michigan are:

What cities in Michigan are hiring for Delivery Data Analyst jobs?

Cities in Michigan with the most Delivery Data Analyst job openings:

AI & Data Solutions Analyst - Technical Safety & Regulatory Compliance

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 14 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 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

Workplace

Get the full story on Breakroom