Lead the transformation of raw data into actionable insights, ensuring alignment between data engineering, BI, and business stakeholders to drive data-driven decision-making
Lead the end-to-end analytics process: data collection, modelling, analysis, and interpretation to provide meaningful business insights
Translate complex data into clear, actionable insights and recommendations for senior leadership and business functions
Ensure timely delivery of analytics solutions and reports to support operational and strategic objectives
Guide the development and application of AI and predictive modelling (e.g., B2S Funnel Modelling, Predictive Modelling on B2S/OA Penetration, Customer Behaviours Model, Forecast Accuracy) for future growth and operational improvement
Oversee the design and delivery of impactful data visualizations and reports that provide clear analytical insights to business leaders for decision-making
Continuously explore and integrate new analytical techniques and tools, including LLMs, to enhance the depth and breadth of insights
Champion data-driven culture, ensuring analytics is embedded in business decision-making at all levels
Ensure that analytical outputs are integrated seamlessly into business processes and contribute to measurable business outcomes
Act as the primary bridge between data engineering, BI teams, and business stakeholders to ensure alignment and impact
Partner with business leaders to identify opportunities where analytics can improve decision-making, customer experience, and efficiency
Communicate analytical findings effectively to both technical and non-technical audiences
Build, mentor, and lead a high-performing analytics team comprising data scientists, business analysts, and AI specialists
Foster a culture of continuous learning, innovation, and excellence including manage team capacity, resources, and priorities effectively
Requirements
Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or related field
8-12 years of experience in analytics, business intelligence, or data science roles, with at least 5-7 years in a leadership position
Proven track record of driving data-driven insights that lead to measurable business outcomes
Extensive experience with predictive modeling, machine learning, and data visualization
Advanced Analytics & Data Science: Strong background in advanced analytics, statistical modeling (Regression, Clustering), and data science principles (Python/R, SQL)
Business Intelligence & Visualization Leadership: Proven ability to lead teams in designing impactful dashboards and reports, with familiarity in Power BI/Tableau
Stakeholder Alignment: Strong communication skills to align analytics efforts with business strategy and translate technical findings into business implications
Data Engineering Collaboration: Understanding of ETL processes and data lakes to ensure effective collaboration with data engineering
