Aftersales Data Analyst

Petromin Corporation; Jeddah; On-site; SAR 89,000 - 156,000; Full time

Job summary

Petromin Corporation is seeking an Aftersales Data Analyst to transform aftersales data into actionable insights. You will build daily, weekly, and monthly performance reports, analyze purchase frequency trends across models, and apply statistics and ML techniques to drive decisions.

You’ll create dashboards and visuals using Power BI and SQL-based workflows, collaborating with SMEs to ensure data quality. Responsibilities include delivering concise analyses to senior management, adapting to

Qualifications

• 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.

Responsibilities

• 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.

Skills

Power BI

Advanced Excel

SQL

Python

Data visualization

Education

Bachelor's degree in Computer Science or Business Administration

Google Data Analytics Professional Certification

CAAP - Certified Automotive Aftermarket Professional

Tools

Dashboards tools

Job description

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