Aftersales Data Analyst

The Job Summary

Aftersales Data Analyst is responsible for analyzing aftersales-related data; unlocking the power of data to optimize aftersales operations and elevate customer experiences and leveraging his analytical skills and data expertise to translate complex information into actionable insights.

• Develop insightful daily, weekly, and monthly reports on aftersales performance metrics, including appointment tracker data and productivity in accordance with defined KPIs.
• Analyze vehicle purchase frequency trends, identifying patterns and correlations across different models and car types.
• Perform exploratory data analysis to uncover hidden patterns, trends, and relationships within complex datasets.
• Utilize advanced statistical methods and machine learning techniques to extract actionable insights from aftersales data, empowering informed decision-making.
• Create compelling data visualizations, dashboards, and reports to effectively communicate findings to stakeholders at all levels.
• Deliver clear, concise, and regular (weekly and monthly) analyses and reports to senior management, fostering data-driven decision-making.
• Demonstrate proficiency in a range of technical skills, including Power BI, Advanced Excel, data dash boarding tools, SQL and Python. Utilize these skills to extract, manipulate, and analyze large datasets.
• Compile and enter data from various sources, including databases and collaborating with subject matter experts (SMEs) to leverage their business knowledge and enrich data analysis.
• Troubleshoot and validate data and reports, proactively identifying and resolving inconsistencies;
  Take ownership of ensuring data quality and finding solutions to emerging challenges.
• Adapt quickly to changes in reporting procedures, ensuring all reports remain current, relevant, and aligned with evolving business needs.

• Provide credible support in strategic planning and business development.
• Leverage data to plan and implement customer engagement initiatives that enhance customer satisfaction and loyalty.
• Utilize data analysis to inform strategies that enhance Nissan's agility and scalability within the competitive automotive market.
• Assist in the aftersales-related projects, including yearly model updates, database skill development initiatives for technicians, integration of new parts and labor operation procedures, and vehicle configuration management.
• Analyze data to identify opportunities for automation, such as in labor time updates, to reduce idle time and streamline aftersales processes.
• Collaborate with business leaders to define key performance indicators (KPIs) and metrics that align with strategic objectives for the aftersales department.
• Build predictive models to anticipate market trends, customer preferences, and product demand for aftersales services and parts.
• Define the appropriate business analysis techniques, tools, and resources required for each aftersales data analysis project.

Bachelor’s degree in Computer Science or Business Administration

Google Data Analytics Professional Certification; CAAP – Certified Automotive Aftermarket Professional

Minimum 3 years experience in data analysis preferably in the automotive industry

Fluency in English & Arabic languages