Automotive Content Analyst

Job is fully remote, no location specified|
Job Type: Remote
Industry: Information Technology
Job Category: Manufacturing - Automation

Compensation: USD $60,000 to $80,000
Full-time
Benefits - Full
Relocation Assistance Available: No
Bonus Eligible: Yes
Overtime Eligible: No
Interview Travel Reimbursed: No

Candidate Details: 7+ to 10 years experience
Seniority Level: Mid-Senior
Management Experience Required: No
Minimum Education: Bachelor's Degree
Willingness to Travel: Never

Security Clearance Required: No
Visa Candidate Considered: No

JOB SUMMARY:
The Associate Automotive Content Analyst is an entry level position that requires the use of advanced vehicle knowledge to create Service Pricing Guides. This position will develop associated skills in order to build Service Pricing Guides in a timely, accurate manor. This includes the maintenance, revision, and enhancement of products as assigned, resolution of data challenges, review of materials and sources, and other projects as may be assigned by the Product Team Supervisor.

RELATIONSHIPS:
Reports to: Manager of Data Operations
Supervises: No direct supervision of employees is involved.

QUALIFICATIONS:
An Associate Automotive Content Analyst should have at least 5 years dealership experience in the Parts Department. Experience in the Service Department would be considered. This experience should include parts counter advisor and / or service advisor work. It may include some type of managerial responsibility as a Manager, Assistant Manager or Wholesale Manager. Should include carline exp for one or all of responsible carlines hired for.
We are currently seeking BMW/MINI and VW/Audi experience.

SKILLS:
Associate Automotive Content Analysts must have strong analytical research skills. Associate Automotive Content Analysts must have advanced knowledge of vehicle technical information. This should include, but is not limited to, OEM parts catalogs, labor catalogs, owners manuals, technical bulletins, recalls, part price masters and Motor data. The Analyst use all the data gathered to create a Pricing Guide for dealers. Associate Automotive Content Analysts should be able to interpret the vehicle information provided to them and accurately recreate this information in a logical, organized manor for our clients. Associate Automotive Content Analysts must have strong decision-making capabilities. Experience with Excel, Outlook, Word, and Windows is necessary. Above average project management skills, adaptability, and the ability to plan and organize efficiently are vital skills for this position. An Associate Automotive Content Analyst should possess excellent written and oral communication skills and should have excellent telephone skills. ASE Parts Certification helpful.

RESPONSIBILITIES:
The Associate Automotive Content Analysts product development responsibilities include, but are not limited to:
Product Enhancements
Model Year Updates
Product Maintenance
Database Skill Development
New Part Operations
New Labor Operations
Data Analysis
Related Repairs
Scheduled Maintenance Required Part Research
Automated Labor Time Updates
Remain current on new and future manufacturers product development.
Editorial Standards
Vehicle Configurations
Data Production
VIN Mapping
Data Challenges
All of these tasks must be performed within the prescribed times as defined by the Product Team Supervisors.

PERFORMANCE STANDARDS:
Adherence to timetables, project analysis, and accuracy of work, should be the primary criteria for performance evaluation. Standards covering such things as meeting deadlines, attendance, compliance with company rules and policies are the responsibility of the Manager.
The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicants experience, knowledge, skills, and abilities; geographic location; and internal equity.

Skills and Certifications [note: bold skills and certification are required]
OEM parts catalogs
Labor Catalog
Motor data