Senior Aftersales BI Analyst: Dashboards & Data Automation

Nissan Motor Corporation; Franklin (TN); On-site; USD 90,000 - 130,000; Full time

Job summary

Nissan is seeking a Senior Analyst Aftersales Business Intelligence to join the Mt. Juliet, TN or Franklin, TN team. You will develop BI, reporting, analytics, and automation solutions that transform enterprise data into actionable insights across Aftersales Supply Chain.

The role emphasizes data warehousing, dashboards, and analytics, with opportunities to mentor others and drive digital transformation across operations such as inventory, forecasting, logistics, and supplier management.

Qualifications

• Bachelor's degree in Data Science, Business Analytics, Computer Science, Computer Information Systems, Engineering, Statistics, Math or related fields required.
• 6+ years of experience with SQL, relational databases, data warehouses, and dimensional modeling.
• 6+ years of experience with Python or VBA for developing business applications and reporting solutions.

Responsibilities

• Lead development of BI, reporting, analytics, and automation solutions to support Aftersales Supply Chain.
• Modernize legacy processes by migrating to cloud platforms and building scalable dashboards and reports.
• Ensure data quality, governance, and reliability; mentor teammates and collaborate with IT and vendor stakeholders.

Skills

SQL

Python

Power BI & DAX

Education

Bachelor's degree in Data Science, Business Analytics, Computer Science, Computer Information Systems, Engineering, Statistics, Math or related fields

Tools

Microsoft Power Apps

MS Access

Snowflake

Job description

Nissan is seeking a Senior Analyst Aftersales Business Intelligence to join the Mt. Juliet, TN or Franklin, TN team. You will develop BI, reporting, analytics, and automation solutions that transform enterprise data into actionable insights across Aftersales Supply Chain.

The role emphasizes data warehousing, dashboards, and analytics, with opportunities to mentor others and drive digital transformation across operations such as inventory, forecasting, logistics, and supplier management.