Aftersales Data Analyst

Role Overview

The Aftersales Data Analyst is tasked with examining data related to aftersales operations to harness the power of information in order to optimize processes and enhance customer experience. This role involves translating intricate datasets into practical insights that support operational and strategic decisions.

Core Responsibilities

• Prepare detailed reports daily, weekly, and monthly on aftersales performance indicators, including appointment tracking and productivity aligned with established KPIs.
• Investigate vehicle purchase frequency trends, discerning patterns across various models and vehicle categories.
• Conduct exploratory analysis to reveal underlying trends, patterns, and relationships within complex datasets.
• Apply advanced statistical techniques and machine learning methods to derive actionable insights from aftersales data, driving informed decision-making.
• Create impactful dashboards, visual presentations, and reports to communicate results effectively to stakeholders across the organization.
• Deliver consistent and clear analytical reports on a weekly and monthly basis to senior leadership to support data-driven decisions.
• Demonstrate expertise with technical tools such as Power BI, Advanced Excel, SQL, Python, and data dashboard software for managing and analyzing large data collections.
• Gather and integrate data from multiple sources, collaborating with subject matter experts to enrich analyses and ensure data completeness.
• Proactively validate data quality by troubleshooting inconsistencies and taking ownership of data accuracy and report reliability.
• Stay adaptable to evolving reporting requirements, ensuring reports remain relevant and updated in alignment with business changes.
• Support strategic planning and business development by providing trustworthy data insights.
• Use data-driven approaches to aid customer engagement programs aimed at improving satisfaction and loyalty.
• Guide strategic initiatives to boost organizational agility and capacity in the competitive automotive sector.
• Contribute to projects such as annual model updates, technician database enhancement, integration of parts and labor operations, and management of vehicle configurations.
• Analyze aftersales processes to identify automation opportunities that enhance efficiency and reduce downtime.
• Work alongside business leaders to establish KPIs that correspond to aftersales strategic goals.
• Develop predictive models forecasting market trends, customer behavior, and demand for aftersales services and components.
• Select appropriate business analysis methodologies, tools, and resources tailored to each aftersales data project.

Qualifications and Additional Details

• Bachelor’s degree in Computer Science or Business Administration is required.
• Certification such as Google Data Analytics Professional or CAAP (Certified Automotive Aftermarket Professional) is preferred.
• Minimum of 3 years experience in data analysis, ideally within the automotive sector.
• Fluency in both English and Arabic languages is essential.