Aftersales Data Analyst
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Key skills for this role
About the Role
Petromin Corporation is seeking an Aftersales Data Analyst to analyze aftersales data, optimize operations, and improve customer experiences. You will develop reports, perform exploratory data analysis, create dashboards, and use tools like Power BI, SQL, and Python to deliver actionable insights.
Key Skills for This Role
Responsibilities
- Develop insightful daily, weekly, and monthly reports on aftersales performance metrics
- Analyze vehicle purchase frequency trends and identify patterns across models and car types
- Perform exploratory data analysis to uncover hidden patterns and relationships
- Utilize advanced statistical methods and machine learning techniques to extract actionable insights
- Create compelling data visualizations, dashboards, and reports for stakeholders
- Deliver clear, concise analyses and reports to senior management
- Compile and enter data from various sources, collaborating with subject matter experts
- Troubleshoot and validate data and reports, ensuring data quality
- Support strategic planning and business development through data analysis
- Build predictive models to anticipate market trends and customer preferences
Requirements
- Bachelor's degree in Computer Science or Business Administration
- Minimum 3 years experience in data analysis, preferably in the automotive industry
- Proficiency in Power BI, Advanced Excel, SQL, and Python
- Fluency in English and Arabic
- Google Data Analytics Professional Certification or CAAP preferred
Full Job Posting
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.
- Leveraging analytical skills and data expertise to translate complex information into actionable insights.
Key Responsibilities / Accountabilities
- 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.
- 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.
- Demonstrate proficiency in Power BI, Advanced Excel, data dashboarding tools, SQL and Python.
- Compile and enter data from various sources, including databases and collaborating with subject matter experts.
- Troubleshoot and validate data and reports, proactively identifying and resolving inconsistencies.
- Adapt quickly to changes in reporting procedures, ensuring all reports remain current and relevant.
- Provide credible support in strategic planning and business development.
- Leverage data to plan and implement customer engagement initiatives.
The Job Profile
- Bachelor's degree in Computer Science or Business Administration.
- Google Data Analytics Professional Certification; CAAP – Certified Automotive Aftermarket Professional (preferred).
- Minimum 3 years experience in data analysis preferably in the automotive industry.
- Fluency in English & Arabic languages.
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