The Job Summary
The 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.
Key Responsibilities / Accountabilities
Sr #
Technical / Job-Specific Competencies
1
Data Analysis & 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.
2
Strategic Planning & Business Development Support
- 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.
The Job Profile
1
Educational Qualifications
Bachelor's degree in Computer Science or Business Administration
2
Professional Certifications
Google Data Analytics Professional Certification; CAAP – Certified Automotive Aftermarket Professional
3
Experience
Minimum 3 years experience in data analysis preferably in the automotive industry
4
Languages Proficiency
Fluency in English & Arabic languages
