Service Project Analyst

The Aftersales Data Analyst is responsible for analyzing operational, financial, and customer data to support business

development within the aftersales department.

This includes driving growth in Value-Added Services (VAS), extended warranty programs, service campaigns,

maintenance packages, and customer retention initiatives. The role supports strategic decisions through dashboards, reporting,

opportunity identification, forecasting, and performance tracking.

Key Responsibilities:

• Data Analytics & Reporting
• Business Development & Service Projects
• Support development and rollout of new aftersales services:
• Extended warranty programs
• Service contracts / maintenance packages
• VAS (detailing, accessories, roadside assistance, etc.)
• Conduct commercial feasibility studies and cost-benefit analysis.
• Benchmark market competition for pricing, service programs, and product positioning.
• Assist in vendor coordination with insurance/warranty partners.
• Customer Experience & Revenue Growth
• Use data to enhance customer touchpoints and conversion funnels.
• Segment customers for targeted marketing campaigns.
• Recommend pricing strategies and promotional plans.
• Track revenue performance by branch, model, advisor, and product line.
  
  

Requirements

Technical: data analysis, BI dashboards, Excel/Power BI/Tableau, CRM/DMS systems, KPI modeling

Business: Feasibility studies, pricing models, forecasting, commercial understanding

Aftersales: Workshop process knowledge, warranty flow, spare parts basics, CSI/VOC

Soft Skills: Communication, presentation, problem solving, stakeholder coordination

Qualifications:

• Bachelors degree in business, Engineering, Data Analytics, or related field.
• 1-3 years of experience in aftersales, automotive, or service industry preferred.
• Experience with BI tools (Power BI, Tableau) and advanced Excel.
• Understanding of warranty processes and service operations is a plus.
  
  

KPIS (Performance Indicators):

• Revenue growth in VAS & Extended Warranty programs.
• Service retention and repeat customer rate.
• Improvement of branch performance KPIs.
• Reporting accuracy and timely delivery.
• Cost optimization through data-driven decision making.

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