Koh Jit Woon

Product Analytics Lead with 7+ years driving growth across E-commerce, Travel and Consumer Products. Expert in connecting user behavior data (SQL/Python) to drive commercial outcomes. Proven track record of influencing product roadmaps and defining success metrics for cross-functional leadership.

Data Product Manager at Singapore Tourism Board (STB) (2025-07 – Present)

Leading data strategy for Singapore's tourism analytics platform, owning the product roadmap for internal and external stakeholders.

• Strategic Data Partnerships: Secured partnerships with Hotels & Attractions stakeholders to ingest sales and inventory data, creating a single source of truth for traveller behaviour analysis.
• AI/ML Strategy: Established evaluation frameworks for AI/ML tools, balancing model accuracy with integration requirements, cost and interpretability.
• KPI Definition and Alignment: Defined core success metrics tied to Visitor Arrivals & Tourism Receipts, aligning product roadmap with business goals.
• Self-Serve Analytics: Replaced manual reporting with automated ETL pipelines, reducing latency by 40% and enabling self-serve for business units.

Product Analytics Lead, Global Connectivity at Dyson (2022-07 – 2024-12)

Analytics partner to Product and Commercial teams for Dyson App.

• Roadmap Strategy: Influenced feature prioritisation by identifying critical checkout friction across user journeys, driving $10M in revenue growth (+80% YoY).
• Experimentation: Designed A/B testing frameworks for landing pages and validated UX hypotheses, delivering a 30% increase in sales conversion.
• Lifecycle Analysis: Optimized segmentation strategies with Commercial stakeholders to refine targeting, increasing repurchase rates by 15%.
• Cross-Market Enablement: Scaled campaign insights across regional markets, contributing to a 20% uplift in user reactivation.
• Team Leadership: Led and mentored a team of 2 analysts guiding prioritisation and insights delivery; established reporting cadence and timeline for new analytics initiatives.

Regional Digital Analyst (SEA & India) at Nike (2021-08 – 2022-07)

Led digital analytics delivery for Nike's e-commerce channels across 8 markets.

• High-Value Segmentation: Designed and implemented customer segmentation model (CLTV) to identify high-value members; achieved 50% uplift in reactivation rates.
• Self-Serve Enablement: Developed self-serve dashboards and structured learning agendas, boosting marketing campaign performance by up to 30%.
• Testing & Optimization: Partnered with UX/Marketing to structure and analyze A/B tests; led "Insights-to-Action" sessions for funnel optimization.
• Regional Scale: Supported digital analytics delivery across 8 markets, driving app performance and member engagement.

IT Business Analyst at Mercedes Benz Singapore (2020-01 – 2021-12)

• Operational Savings: Led strategic IT cost optimization by rationalizing software investments, delivering $2M in operational savings.
• Governance Reporting: Designed Power BI dashboards for compliance and usage tracking, resulting in a 20% reduction in IT license expenses.

Master of IT in Business in Artificial Intelligence – Singapore Management University (2020-01 – 2023-12)

Bachelor in Accountancy and Finance in Accountancy and Finance – Nanyang Technological University (2014-01 – 2018-12)