Insights Lead

About us: Sylndr was born to build trust in the Egyptian pre-owned cars market by bringing transparency, and reliability and delivering best-in-class service to all stakeholders. We are on a mission to impact millions of Egyptians by becoming the go-to online platform to sell their cars directly in just a few hours or to buy high-quality and affordable cars seamlessly.

About the role : We're seeking an Insights Lead to drive data-driven decision-making across all departments. Your role involves identifying risks and opportunities, particularly in refurbishment/workshop operations and vehicle movement. You'll leverage SQL proficiency to build dashboards, present insights, and collaborate with stakeholders to support strategic initiatives.

What You’ll Do:

• Prepare and present detailed performance dashboards for refurbishment/workshop operations monthly and weekly, highlighting key metrics and trends.
• Develop and maintain automated daily monitoring dashboards and KPIs to track performance and identify potential issues.
• Work closely with stakeholders from various departments to understand their data needs and provide insights to support their decision-making processes.
• Collaborate with refurbishment/workshop teams to identify business risks and opportunities, leveraging data-driven insights.
• Analyze data related to vehicle movement across different business stages and identify areas for improvement.
• Stay updated on industry trends and best practices in data analytics and dashboard development.

Who You Are

• Bachelor's degree in Engineering, Business, Economics, Statistics, or a related field. Relevant work experience may be considered instead of a degree.
• Proven experience in data analysis, insights generation, and strategic decision-making. Familiarity with statistical analysis and data visualization tools is a plus.
• Strong proficiency in Microsoft Office suite, particularly Excel. Ability to analyze complex data sets, create formulas, and generate reports.
• Familiarity with SQL for data extraction.
• Ability to work with large datasets and perform data analysis efficiently.
• Excellent analytical and problem-solving skills. Comfortable working with numbers, interpreting complex KPIs, and drawing actionable insights.
• Strong communication and presentation skills.
• Ability to convey information clearly and effectively to diverse stakeholders.
• Collaborative and adaptable mindset. Ability to work effectively with different teams and stakeholders, fostering productive working relationships.