Skip to main content
Tallo logoTallo logo

Find Jobs

Find Jobs Near You – Available Work in Your Location

Technology
Data / Data Mining Analyst
Auburn Hills, MI

Find & Apply For Data / Data Mining Analyst Jobs in Auburn Hills, Michigan

Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.

Skip to job details
Now viewing: Data analyst/Data Engineer
Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Apply Offsite
Segula Technologies

Data analyst/Data Engineer

Pay: Not specified
Posted: 1 week ago
Location: Auburn Hills, MI (Onsite)
Last Updated: 6 days ago
Hours: Full-Time
Expires: 11/20/2026
Review key factors to help you decide if the role fits your goals.
How is this calculated?
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
72
out of 100
Average of individual scores

Were these scores useful?

Job Description

Position Summary The Lead Product Development Data Engineer owns key data processes and analytics applications within the broader Product Development Process (PDP). In this cross-functional role, you will bridge the gap between Engineering and enterprise organizations—including IT, Manufacturing, Finance, Purchasing, and Supply Chain—to establish standardized, high-performing data workflows, modern cloud architectures, and scalable analytics solutions. Key Responsibilities 1.
Data Architecture & Cloud Engineering Enterprise Platform Management:
Build, optimize, and maintain big data pipelines and architectures leveraging Snowflake , Databricks , or Microsoft Fabric .
Cloud & Data Pipelines:
Design scalable data models and storage solutions (Lakehouse, DirectLake) using SQL, Python, PySpark, and cloud ecosystems across Azure or AWS.
Modern Analytics Integration:
Migrate legacy data workflows to modern cloud architectures, establishing robust data governance, pipeline security, and data lineage. 2.
Process Governance & Analytics Standards Process Ownership:
Drive global uniformity, documentation, and continuous refinement across assigned Product Development processes and digital applications.
Business Intelligence & Dashboards:
Develop, deploy, and maintain executive-level dashboards and reporting tools using Power BI , PowerApps , and Palantir Foundry .
Workflow Automation:
Streamline administrative and operational cross-functional engineering tasks using Power Automate and Microsoft 365 tools. 3.
Cross-Functional Leadership & AI/ML Support Stakeholder Alignment:
Collaborate across IT, Manufacturing, Finance, Purchasing, and Program Management to capture technical requirements and align business goals.
AI/ML Workflows:
Support the integration of machine learning models and predictive analytics into existing engineering data pipelines.
Executive Communication:
Translate complex data technicalities and process trade-offs into clear decision packages, business cases, and leadership presentations.