Service Marketing Support Co-Ordinator

SUMMARY:
New vacancy is available for a Service Marketing Support Co-Ordinator in the Technical Service Centre for our client in the Automotive Industry, based in Kariega.

POSITION INFO:
Duties:

• Maintaining Group Alert roadside assistance programme for the brand (handle queries, update training material, update booklets, conduct benchmarking)
• Ordering, distributing and tracking Alert vehicles after decal fitment,
• Analysing generated reports, address non-contactable dealers, review Group requirements and participate in Tow-in Service Provider operational meetings.
• Co-ordinating and monitoring dealer Alert vehicle floor plan arrangements
• Publishing and managing Roadside Assistance Dealer Service Level Agreement.
• Managing video Service Phantom testing (Mystery Shopping) for all brands.
• Handling all customer queries that may arise from the usage of the vehicles during the Phantom Test (Mystery Shopping).
• Compiling Phantom test (Mystery Shopping) samples on MasterLis.com (Phantom test administration system)
• Ensuring testing is in line with Group requirements and act as South African Market Co-Ordinator.
• Investigating, piloting, implementing and maintaining new service programmes/concepts within dealer network for all brands.
• Maintaining service and co-ordinate Retail Standards Audit for all brands.
• Backing office support to all Technical Field Force (TFF) and Regional After Sales Managers

• Candidates should have a National Diploma or Degree in relevant fields such as Engineering, Marketing, Business Management, or IT/Computer Science.

• A minimum of 3 years' experience in After Sales, Data Analytics, or System Development is required.

• Familiarity with Dealer After-Sales procedures
• Strong presentation and problem-solving skills
• Ability to work independently and under pressure
• Strong project management and computer skills (proficiency in MS Office)
• Effective communication skills at all organizational levels

• Candidates with advanced skills in Power BI, Excel, and data mining/analytics will be favored.