Auburn Hills, MI

Data Jobs in Auburn Hills, MI

11 jobs found

Include remote jobs

Today

Senior Data Engineer

Stellantis Auburn Hills, MI

Auburn Hills, MI

Today

Full time Senior Big Data Bigdata

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Job Description

Senior Data Engineer at Stellantis, onsite in Auburn Hills, MI, focused on building reliable data foundations, pipelines and governance to scale AI delivery and industrialize data engineering practices within the Supply Chain AI Hub.

Responsibilities

Design, enhance or govern data models, transformation logic, and pipeline components that enable AI and analytics use cases
Foster maintainable architectures, reusable components, and clear lineage across transformations where applicable
Guide delivery teams with practical data engineering discipline rather than ad hoc builds
Clarify source to platform pathways, integration dependencies, and constraints impacting delivery
Improve visibility of traceability, handoffs, and access controls across the Supply Chain
Collaborate with ICT and engineering stakeholders to keep the build path practical and scalable
Contribute to quality checks, certification routines, governance expectations, or compliance-related traceability as scoped
Surface data structure issues, documentation gaps, or control weaknesses that affect deployment readiness
Support a trusted delivery environment by making data assets more visible, understandable, and maintainable

Requirements

Bachelor's or Master’s degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, or related field
Eight years of experience in data engineering or data platforms
Prior experience in Supply Chain
Hands-on experience with modern data platforms such as Databricks, Spark, Snowflake, or equivalent
Experience with data pipelines, integration, semantics, lineage, architecture and platform environments
Enterprise-scale data transformation and delivery experience
Ability to collaborate effectively with analytics, AI, and software engineering teams

Technologies

Databricks
Spark
Snowflake
SQL

YOUR PROFILE

Strong data-engineering experience in modern enterprise environments, with depth in data modelling, pipelines, integration, quality, lineage or governance topics
Able to operate across business needs, technical constraints and delivery realities
Strong SQL and practical understanding of data structures, transformations, traceability and controlled delivery environments
Comfortable working with multiple stakeholders across architecture, data, engineering and governance topics
Structured, pragmatic and able to take ownership of a defined subset of a broader senior data-engineering scope

SKILLS YOU'LL GROW

Broader exposure across the building blocks that make AI-ready data scalable in operation
Experience at the intersection of data engineering, integration, quality and delivery governance
Opportunity to deepen expertise in a specific component while contributing to a wider AI data foundation program

WHY JOIN / IMPACT

Work on data-engineering challenges directly tied to real AI deployment in Supply Chain
Role with enough breadth to offer variety while maintaining focused ownership within a defined perimeter
Help strengthen the data foundations that enable scalable AI delivery

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5d ago

Data Analyst / Front End

Stellantis Auburn Hills, MI

Auburn Hills, MI

5d ago

Full time Analyst Analytics Business Intelligence

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Job Description

The Data Analyst / Front-End App Developer will design, construct, and maintain analytics and front-end data applications that support Purchasing data products. The role delivers dashboards, key performance indicators, alerts, and user interfaces under the guidance of a Data & AI Product Owner to enable business users to access and act on Purchasing data efficiently. This position is on-site in Auburn Hills, MI.

Responsibilities

Design dashboards, reports, and front-end data applications aligned to product requirements; implement interactive views, filters, and intuitive interfaces within approved standards; ensure analytics outputs are clear, accurate, and consistent with business definitions.
Analyze Purchasing data to identify trends, exceptions, and actionable insights; validate data correctness and consistency in collaboration with the Data Manager and Product Owner; support root-cause analysis by surfacing data patterns and anomalies.
Translate Product Owner requirements into functional analytics deliverables; assist with testing, validation, and release of data products; contribute to incremental improvements based on user feedback and usage patterns.
Collaborate with data engineers, data scientists, and UX partners as needed; apply lessons learned to improve future deliveries; adhere to agreed development, documentation, and quality practices.

Requirements

Bachelor's degree in business, Supply Chain Management, Finance, Marketing, Economics, International Business, Accounting, Entrepreneurship, or a related field.

Basic Qualifications

Bachelor's degree in business, Supply Chain Management, Finance, Marketing, Economics, International Business, Accounting, Entrepreneurship, or a related field.

Preferred Qualifications

1 year of work experience
Strong negotiation and strategic thinking skills
Excellent analytical, organizational, and communication abilities
Experience collaborating in cross-functional teams
Ability to identify and prioritize critical tasks
Self-motivated, resourceful, and organized in managing complex work

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15d ago

Business & Data Analyst

Stellantis Auburn Hills, MI

Auburn Hills, MI

15d ago

Full time Analyst Analytical Skills Analytics

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Job Description

Role: Business & Data Analyst at Stellantis, onsite in Auburn Hills, MI, responsible for building and scaling trusted data products for performance measurement across sales, incentives, and payments.

Responsibilities

Gather and document stakeholder requirements
Develop a deep understanding of the data needed to support performance measurement across sales, incentives, and vehicle payments
Lead the design of deliverables and data artifacts in collaboration with technical and business stakeholders
Test, validate, and implement data solutions ensuring quality and governance
Provide end-user support and training to enable adoption
Coordinate projects end-to-end, balancing scope, timelines, and resources
Deliver analytics quickly in time-constrained environments while maintaining accuracy
Manage multiple reporting tools and ensure consistency across platforms
Present status updates and actionable insights to management, capturing feedback for refinement
Align data across Sales, Brand, and Finance to reflect sales, incentives, and vehicle payments
Support adoption through knowledge transfer and change management activities
Turn a strategic vision into an operational project and shepherd it through uncertainty to completion
Define success criteria and track progress against them
Apply strong analytical and problem-solving skills to craft creative solutions to complex problems
Lead cross-functional teams in iterative agile development cycles
Balance competing priorities in a dynamic, evolving environment
Collaborate with internal teams, external partners, and vendors to deliver outcomes

Requirements

Bachelor's degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, Data Science, or Operations Research)
Minimum 5 years of experience in analytics, business intelligence, or data analysis roles
Strong SQL skills for data analysis
Excellent quantitative and qualitative evaluation abilities and the ability to assess processes and data objectively
Robust problem formulation, problem-solving, and analysis capabilities
Proven success delivering projects and driving change management
Ability to collaborate with external data partners, agencies, and vendors
Proficient in Microsoft Office Suite

Technologies

SQL
Microsoft Office Suite
Qlik
Power BI
Tableau

Preferred Qualifications

Three or more years of automotive industry experience
Experience in brand management, production sales, or a media-focused environment is advantageous
Comfort with cloud-based work environments
Familiarity with data visualization tools such as Qlik, Power BI, or Tableau is advantageous

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15d ago

Senior Finance Data Engineer / Data Analyst

Stellantis Auburn Hills, MI

Auburn Hills, MI

15d ago

Full time Analyst Analytics Business Analytics

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Job Description

What you gain

Stellantis offers an onsite Senior Finance Data Engineer / Data Analyst role in Auburn Hills, MI that centers on FP&A reporting and analytics powered by Power BI. You will apply advanced data management and modeling skills, underpinned by a solid understanding of financial concepts, to deliver reliable, scalable insights. This position prioritizes data accuracy, performance, and secure access across reporting tools, with opportunities to collaborate across finance teams in a fast paced, dynamic environment.

Responsibilities

Manage the full Power BI data lifecycle from data extraction and transformation (Bronze and Silver layers) to semantic modeling and dashboard development (Gold layer).
Ensure data accuracy, performance, and security across FP&A reporting tools.
Handle user access and role level security within Power BI Service.

Requirements

Advanced proficiency in Power BI, Power Query, and DAX.
Experience integrating data from multiple sources such as Excel, CSV, and ERP systems like SAP or OneStream.
Ability to clean, transform, and standardize data into analytics ready models.
Experience deploying and maintaining dashboards in Power BI Service.
Basic understanding of financial reporting structures such as P&L, revenue, cost, and variance analysis.
Strong analytical mindset with attention to data accuracy, consistency, and performance optimization.
Bachelor's degree in Data Analytics, Computer Science, Financial Technology or a related field.
Minimum of 5 years' extensive experience with Power BI.
Minimum of 8 years' overall relevant work experience.
Thrive in a fast paced, dynamic work environment.

Technologies

Power BI
Power Query
DAX
Excel
CSV
SAP
OneStream
Power BI Service

Preferred Qualifications

Power BI certification or similar credentials.
Experience with ETL tools or scripting languages such as SQL or Python for advanced data transformation.
Experience with OneStream, SAP or Oracle tools.

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20d ago

ICT Data Engineer

Stellantis Auburn Hills, MI

Auburn Hills, MI

20d ago

Full time Analytics Big Data Business Analytics

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Job Description

Stellantis offers a fast paced, collaborative environment that emphasizes rapid delivery and close partnership with business teams. In this role, you will support Purchasing and Finance Analytics and Programs within the North America Data & AI team, designing and maintaining data pipelines and infrastructure to enable analytics and data products.

Responsibilities

Assemble large, complex data sets that satisfy both functional and non functional requirements.
Design, implement, and optimize end to end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
Develop robust ETL processes to integrate data from diverse sources.
Identify and implement internal process improvements, including infrastructure redesign for greater scalability, optimizing data delivery, and automating manual tasks.
Build the infrastructure required for efficient extraction, transformation, and loading of data from various sources using AWS, Azure, DB2, and SQL technologies.
Create scalable tables to provide actionable insights into key performance metrics such as operational efficiency and customer acquisition.
Collaborate with stakeholders, including Data Product teams, to support data infrastructure needs and assist with data related technical issues.
Design and maintain data models, schemas, and database structures to support analytical and operational use cases.
Optimize data storage and retrieval mechanisms for performance and scalability.
Lead and coordinate cross functional AI programs from concept to deployment, aligning with business goals and timelines.
Partner with data scientists, engineers, and business stakeholders to define and prioritize program objectives.
Apply statistical analysis and machine learning techniques to solve business and operational problems.
Translate business requirements into analytical solutions and actionable AI use cases.
Build and deploy predictive models to forecast warranty claims, failure rates, and cost trends.
Ensure data quality, lineage, documentation, and compliance with governance requirements.
Create dashboards and analytical outputs that drive insight adoption and operational impact.
Collaborate with business data engineers and platform teams on scalability, performance, and best practices.

Requirements

Bachelor's degree in Data Science, Statistics, Engineering, Computer Science, or a related field.
Minimum 3 years of experience as a Data Scientist, Advanced Analyst, or a similar role.
Strong proficiency in Python, SQL, PySpark, and visualization tools (Power BI, Foundry Workshop).
Solid understanding of statistics, exploratory data analysis, and applied machine learning.
Experience working with large, complex datasets in enterprise environments.
Ability to communicate analytical findings clearly to both technical and non technical audiences.
Proven track record delivering end to end analytics or data science solutions into production.
Experience with one or two data and cloud platforms (e.g., Palantir Foundry, Snowflake, Databricks, AWS, Azure, GCP).
Strong communications and stakeholder engagement skills.

Technologies

Python
SQL
PySpark
Power BI
Foundry Workshop
AWS
Azure
DB2
Palantir Foundry
Snowflake
Databricks
GCP

Preferred Qualifications

Familiarity with data modeling, semantic layers, and enterprise data platforms.
Industry experience in automotive and manufacturing.
Exposure to MLOps concepts, model deployment, or monitoring.
Hands on experience with Palantir Foundry and Snowflake Intelligence.
Master's degree in Data Science, Statistics, Engineering, Computer Science, or a related field.
Experience thriving in a fast paced environment that emphasizes rapid delivery for business partners, in a highly collaborative culture that values speed, quality, and driving change and value.

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1mo ago

Data Analyst - AI Trainer

DataAnnotation Auburn Hills, MI 🇺🇸 Remote

Auburn Hills, MI

1mo ago Closed

$50 - $100/hr Full time Python Ai Ml Ai Trainer

This position is no longer accepting applications (closed Jul 24, 2026).

Job Description

This remote, contract Data Analyst - AI Trainer role offers flexibility, autonomy, and a chance to shape the future of AI. You will design and solve coding problems used to train AI models, write clear code snippets with explanations, and provide feedback that directly informs next-generation AI systems. Work from a location in Auburn Hills, MI, or operate remotely from permitted regions with a flexible schedule that adapts to your workflow. Expect competitive compensation and the opportunity to tackle meaningful analytics challenges while maintaining balance in your day-to-day.

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose projects and timing that fit your life, using your own computer from home.
Competitive pay: hourly compensation up to $100+, with potential for higher bonus rates on select projects.
Impact: contribute to the evolution of AI technologies through hands-on problem design and feedback.

Responsibilities

Design and solve a variety of coding problems used to train AI systems.
Write clear, high-quality code snippets accompanied by thorough explanations.
Evaluate AI-generated code for accuracy, performance, and clarity.
Provide actionable feedback that helps shape the next generation of AI models.

Requirements

Fluency in English (native or bilingual level).
Proficiency in at least one of these: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.
Excellent writing and grammar skills.
Bachelor's degree (completed or in progress).
Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.

Technologies

JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, Swift

Note

Payment is made via PayPal. We will never ask for money from you. PayPal will handle currency conversions from USD. This role is available only to individuals located in the US, Canada, UK, Ireland, Australia, and New Zealand; those outside these regions will not see work or assessments on our site at this time.

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1mo ago

Data Analyst - AI Trainer

DataAnnotation Auburn Hills, MI 🇺🇸 Remote

Auburn Hills, MI

1mo ago Closed

$50 - $100/hr Full time Ai Trainer Analyst Analytics

This position is no longer accepting applications (closed Jun 28, 2026).

Job Description

DataAnnotation offers a fully remote Data Analyst - AI Trainer role with a flexible schedule. In this position, you will design and solve coding problems used to train AI systems, write clear, high-quality code samples with detailed explanations, evaluate AI-generated code for accuracy and clarity, and provide feedback that helps shape the next generation of AI models.

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: select projects and determine when you work.
Competitive pay: hourly rates range from $50 to $100+, with opportunities for higher-paying projects based on performance.
Impact: contribute to advancing AI technologies and the models that power them.

Responsibilities

Design and solve a variety of coding problems used to train AI systems.
Write concise, high-quality code snippets accompanied by thorough explanations.
Assess AI-generated code for correctness, performance, and readability.
Provide actionable feedback that informs the development of next-generation AI models.

Requirements

Fluency in English at native or bilingual level.
Proficiency in at least one of these languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.
Excellent writing and grammar skills.
A bachelor’s degree (completed or in progress).