- Bachelor's degree in Engineering, Statistics, Mathematics, Business Analytics, or other quantitative-related disciplines.
- Minimum 4 years of experience in data analytics, business analytics, operations analytics, or a related field, with demonstrated experience leading projects or mentoring/coaching team members.
- Strong analytical and problem-solving skills with the ability to transform complex data into actionable business insights and strategic recommendations.
- Proven experience developing dashboards, performance reports, KPI frameworks, and data-driven business reviews.
- Excellent stakeholder management and communication skills, with the ability to manage expectations and collaborate effectively across cross-functional teams.
- Experience leading or coordinating a small team is preferred; formal supervisory experience is an advantage but not mandatory.
- Proficient in Microsoft Excel and/or Google Sheets for advanced data analysis and reporting. Experience with BI tools (e.g., Power BI, Tableau, or Looker Studio) is a plus.
- Passionate about data analytics, naturally curious, and committed to continuous learning and driving business improvements.
- Comfortable leveraging AI-powered productivity and analytics tools to improve efficiency, generate insights, and enhance decision-making.
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