Remote Automotive Parts Analytics Specialist

ADMI; United States; Remote; USD 65,000 - 125,000; Full time

Benefits offered by this job

Annual performance bonus

Employee Stock Ownership Plan

Professional development and training

Job summary

ADMI is seeking an Inventory & Data Analytics Specialist to transform OEM parts and inventory data into meaningful business insights for dealership clients. You will work with master parts files, pricing, classifications, stocking information, demand metrics, and dealership records to produce reports, financial models, and consulting deliverables.

The role focuses on analyzing large datasets, building advanced Excel tools, and delivering data-driven recommendations to optimize inventory and

Qualifications

• Experience handling large datasets and database structures.
• Ability to create financial models, forecasts, and pro formas.
• Strong data validation, cleansing, and manipulation skills.
• Excellent written and verbal communication abilities.
• Detail-oriented with ability to manage multiple projects.

Responsibilities

• Receive, validate, and maintain OEM master parts data files.
• Build dashboards and scorecards for clients and management.
• Develop Excel-based pro formas and financial projections.
• Create forecasting scenarios and data-driven ROI analyses.
• Produce recurring reports and ad-hoc analyses for consulting projects.

Skills

Analytical skills

Big data

Data validation

Financial modeling

Attention to detail

Communication skills

Project management

Tools

Power BI

SQL

Access

Tableau

Python

Job description

ADMI is seeking an Inventory & Data Analytics Specialist to transform OEM parts and inventory data into meaningful business insights for dealership clients. You will work with master parts files, pricing, classifications, stocking information, demand metrics, and dealership records to produce reports, financial models, and consulting deliverables.

The role focuses on analyzing large datasets, building advanced Excel tools, and delivering data-driven recommendations to optimize inventory and