Head of Enterprise Data & Analytics - NA

Midea America; Parsippany-Troy Hills (NJ); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Medical, dental, and vision

401(k) plan

Paid time off

Paid parental leave

Annual incentive

Job summary

Midea America Corp. is seeking a Senior Manager, Enterprise Data & Analytics to build and own the NA data analytics capability.

You will define governance, roadmaps, and scalable analytics solutions across supply chain, logistics, order-to-cash, and commercial performance. The role is hands-on and strategic: you will write SQL, prototype Power BI dashboards, validate results, manage external vendors, and collaborate with Headquarters Analytics to deliver business value through trusted KPIs and

Qualifications

• Advanced SQL skills and data-quality analysis are required.
• Extensive experience in BI, data warehousing, and analytics platforms.
• Proven ability to lead analytics initiatives across functions.

Responsibilities

• Own the North America Data & Analytics roadmap and prioritize use cases.
• Partner with Supply Chain, Logistics, Finance, and Sales to define KPIs and data models.
• Write SQL to extract and validate enterprise data from multiple systems.
• Build Power BI prototypes and semantic models; collaborate to productionize solutions.
• Define data governance, lineage, and ownership standards.

Skills

Advanced SQL

Power BI

Data warehousing

Data modeling

Problem solving

Vendor management

Communication

Cross-functional collaboration

Education

Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, Statistics, Business Analytics, or related field

15+ years of progressive experience in data & analytics

Experience with data governance

Tools

Microsoft Fabric

Snowflake

StarRocks

ETL tooling

Job description

Midea America Corp. is seeking a Senior Manager, Enterprise Data & Analytics to build and own the NA data analytics capability.

You will define governance, roadmaps, and scalable analytics solutions across supply chain, logistics, order-to-cash, and commercial performance. The role is hands-on and strategic: you will write SQL, prototype Power BI dashboards, validate results, manage external vendors, and collaborate with Headquarters Analytics to deliver business value through trusted KPIs and