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Process Improvement Data Analyst Jobs in Michigan

Accounting Manager Process Improvement

Dundee, MI

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Accounting Manager Process Improvement | Req ID: 17457 | HR Contact: Wendy BECKER | Location ... financial data analysis. Travel Requirements: 10% - 30% travel (primarily site visits to ...

Data Analyst, Procurement

Livonia, MI · On-site

$49K - $77K/yr

... improvement, and supporting automation of manual reporting processes * Analyze data to identify trends, patterns, and opportunities to improve procurement performance and key business outcomes ...

Role: Data Analyst Location: Warren, MI (Hybrid) Duration: Long term Rate: Market Key ... Working knowledge of IT project management principles and requirements gathering processes

Accounting Manager Process Improvement

Dundee, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Title: Accounting Manager Process Improvement | Req ID: 17457 | HR Contact: Wendy BECKER ... financial data analysis. Travel Requirements: 10% - 30% travel (primarily site visits to ...

Data Analyst Location:Detroit,MI Duration:Long Term OVERVIEW * The Data Analyst must be able to ... Experience in implementing solutions and processes for master data and hierarchy synchronizations ...

Data Analyst

Dearborn, MI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

The Data Analyst is responsible for developing and delivering high-quality analytical insights that ... data processing * Build and maintain performance metrics and reporting frameworks for service ...

Recommend process improvements and advanced analytics solutions to streamline workflows * Maintain data quality, security, and performance standards across all reporting systems * Develop dashboards ...

Aftermarket Business Data Analyst

Ann Arbor, MI · On-site

$77K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build data models, predictive analytics, and forecasting tools to improve planning and operational ... Lead and contribute to cross-functional projects focused on process improvement, business ...

Aftermarket Business Data Analyst

Ann Arbor, MI

$77K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build data models, predictive analytics, and forecasting tools to improve planning and operational ... Lead and contribute to cross-functional projects focused on process improvement, business ...

Aftermarket Business Data Analyst

Ann Arbor, MI

$77K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build data models, predictive analytics, and forecasting tools to improve planning and operational ... Lead and contribute to cross-functional projects focused on process improvement, business ...

Data Analyst

Okemos, MI

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Analyst #1058274 * We are seeking an Analytics Engineer (contract) to support development of ... AI & Hiring Disclosure We use AI tools to support parts of our hiring process, such as reviewing ...

Process Engineer

Kalkaska, MI

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Continuous Improvement & Data Analytics * Analyze key performance indicators including OEE ... Audit manufacturing processes to verify compliance with quality standards; develop, maintain, and ...

The Data Analyst / Front-End App Developer is responsible for designing, building, and maintaining ... Collaboration & Continuous Improvement * Collaborate with data engineers, data scientists, and UX ...

Showing results 21-40

Process Improvement Data Analyst information

How does a process improvement data analyst typically collaborate with cross-functional teams to drive efficiency?

A Process Improvement Data Analyst works closely with stakeholders from various departments, such as operations, IT, and management, to identify inefficiencies and recommend data-driven solutions. Collaboration often involves facilitating workshops, leading discussions to map current processes, and sharing analytical findings to ensure everyone understands the root causes of bottlenecks. Regular meetings and clear communication are essential, as analysts must balance technical insights with practical suggestions that teams can implement. This collaborative approach not only helps in building consensus but also ensures that solutions are tailored to each team's unique workflows.

What are the key skills and qualifications needed to thrive as a process improvement data analyst?

To thrive as a Process Improvement Data Analyst, you need strong analytical skills, a solid understanding of process mapping, and proficiency in statistics, usually supported by a degree in business, engineering, or a related field. Familiarity with data analysis tools like SQL, Excel, Tableau, and process improvement methodologies such as Lean Six Sigma certification is highly beneficial. Exceptional problem-solving, communication, and collaboration skills help you present findings and drive change across teams. These skills ensure you can identify inefficiencies, support data-driven decisions, and effectively implement improvements that add value to the organization.

What is the difference between Process Improvement Data Analyst vs Business Analyst?

AspectProcess Improvement Data AnalystBusiness Analyst
Required CredentialsBachelor's in Data Analytics, Business, or related field; certifications like Six Sigma or LeanBachelor's in Business, IT, or related; certifications like CBAP or PMI-PBA
Work EnvironmentData-driven teams, process improvement projects, operational settingsProject teams, stakeholder meetings, business process analysis
Employer & Industry UsageManufacturing, healthcare, finance, logisticsIT, finance, consulting, corporate sectors

The Process Improvement Data Analyst focuses on analyzing data to optimize processes and increase efficiency, often working closely with operational teams. In contrast, a Business Analyst evaluates business needs, documents requirements, and facilitates solutions across various departments. While both roles require analytical skills and some overlapping certifications, their primary focus and daily tasks differ significantly.

What does a process improvement data analyst do?

A Process Improvement Data Analyst is responsible for analyzing business processes, identifying areas for improvement, and using data-driven methods to recommend solutions. They collect and examine data related to workflows, efficiency, and productivity, then use statistical tools to identify bottlenecks or inefficiencies. By collaborating with different teams, they help implement changes that streamline operations, reduce costs, and improve overall performance. Their work often supports continuous improvement initiatives within an organization.

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

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

What cities in Michigan are hiring for Process Improvement Data Analyst jobs?

Cities in Michigan with the most Process Improvement Data Analyst job openings:

Infographic showing various Process Improvement Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, 4% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

ICT Data & AI Business Analyst

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

Role Summary
The Data & AI Business Analyst drives the discovery, analysis, and translation of business needs into actionable requirements, with a strong emphasis on data analytics, process optimization, and cross-functional collaboration. This role requirement-gathering efforts, shapes analytical solutions, and ensures that data-driven insights inform strategic and operational decisions. The position serves as a bridge between business stakeholders, data teams, and technology partners to deliver high-quality, scalable solutions.
Key Responsibilities
Requirements Gathering & Solution Definition
  • Lead end-to-end requirements elicitation through workshops, interviews, process mapping, and data exploration.
  • Translate business needs into clear, concise functional and non-functional requirements, user stories, acceptance criteria, and process flows.
  • Facilitate alignment sessions with stakeholders to validate requirements and ensure shared understanding.
  • Evaluate business processes and identify opportunities for automation, optimization, and improved data utilization.

Data Analytics & Insights
  • Partner with data engineering, BI, and analytics teams to define data requirements, metrics, KPIs, and reporting structures.
  • Analyze complex datasets to identify trends, gaps, and opportunities that inform business strategy.
  • Support the design and validation of dashboards, analytical models, and data pipelines.
  • Ensure data quality, governance, and consistency across analytical solutions.

Stakeholder Communication
  • Liaison between business units, technical teams, and leadership.
  • Present findings, recommendations, and solution options to stakeholders in a clear, data-driven manner.
  • Manage stakeholder expectations, dependencies, and priorities across multiple initiatives.
  • Mentor junior analysts and contribute to BA practice development.

Project & Delivery Support
  • Collaborate with project managers, product owners, and technical leads to define scope, timelines, and delivery plans.
  • Support backlog refinement, sprint planning, and release readiness activities.
  • Conduct impact assessments, risk analysis, and change-readiness evaluations.
  • Validate solutions through testing support, UAT coordination, and post-implementation reviews.

Required Qualifications
  • Bachelor's degree in Business, Computer Science, Information Systems, Data Analytics, Statistics, or a related field
  • Minimum 4 years of experience as a Business Analyst, Data Analyst, or similar role
  • Strong proficiency in data analysis tools (e.g., SQL, Excel, Power BI, Tableau).
  • Strong understanding of SAP configuration, master data, and business process flow.
  • SAP Analytics, SAP HANA, SAP AI/Joule experience
  • Demonstrated experience gathering and documenting complex requirements for data driven solutions.
  • Solid understanding of data modeling, data governance, and analytics workflows.
  • Experience working in Agile environments and writing user stories.
  • Excellent communication, facilitation, and stakeholder management skills.

Preferred Qualifications
  • Experience with cloud data platforms (e.g., Azure, AWS, SQL).
  • Background in process improvement methodologies (Agile, Lean, Six Sigma).
  • Familiarity with API integrations, data engineering, data visualization, data pipelines, and enterprise data architecture.
  • Industry experience in finance, healthcare, retail, or technology.
  • SAP Analytics, SAP HANA, SAP AI/Joule experience

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