Senior Data Insight Analyst
TaipeiLINE TaiwanPlanningFull-time
We are seeking a highly analytical and globally-minded Senior Data Insight Analyst to join our Data Insight team. In this strategic role, you will drive high-impact data initiatives that shape the product roadmap across multiple countries, with a strong focus on AI-driven insights, intelligent automation, and AI product experiences. You will lead the development of advanced analytics, machine learning solutions, and AI-powered business process optimizations—delivering actionable insights with direct visibility to senior leadership.
As a trusted analytics partner, you will work cross-functionally with product, engineering, marketing, and business leaders to influence international growth
strategies and user experience enhancements across our online app ecosystem.
Responsibilities
• Lead complex, cross-market data initiatives that integrate AI and machine learning into product decision-making and user-facing capabilities.
• Support and optimize ETL pipelines that enable data integration across diverse regional platforms and systems.
• Develop and deploy predictive and machine learning models to forecast user behavior, product performance, and retention metrics.
• Design and implement AI solutions to automate and enhance business processes, workflows, and operational efficiency across teams and regions.
• Utilize big data technologies (e.g., Apache Spark, Hadoop, Kafka) and cloud platforms (e.g., Google Cloud, AWS, Azure) to ensure scalable, real-time analytics capabilities.
• Drive experimentation strategy (e.g., A/B testing, causal inference) to measure the impact of global product initiatives and inform rollout decisions.
• Craft compelling data narratives and visualizations using Tableau, Power BI, or Python (e.g., Seaborn, Plotly) to communicate insights clearly to technical and non-technical audiences.
• Collaborate with regional product and marketing stakeholders to align data strategy with country-specific business goals.
• Influence the global product roadmap by synthesizing insights across markets and proactively identifying cross-border opportunities and risks.
• Present regularly to executive leadership and provide data-backed recommendations that shape strategic direction across teams and countries.
• Explore and implement emerging technologies and methodologies to continuously improve analytics capabilities and business impact.
Basic Requirements
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Economics, or a related quantitative discipline.
• 5+ years of experience in analytics, data science, or business intelligence roles, ideally in tech or digital product environments.
• Advanced SQL and Python skills (including Pandas, NumPy, Scikit-learn); experience with distributed computing (Spark/Hadoop) and cloud data environments (BigQuery, AWS, or equivalent).
• Experience implementing AI solutions for business process automation, workflow optimization, or operational enhancement.
• Strong curiosity and willingness to explore new technologies, methodologies, and approaches with a proven track record of successful implementation and execution.
• Basic experience with ETL processes and data pipeline concepts to support analytics workflows.
• Proven ability to develop and communicate insights using statistical models, machine learning, and visualization tools.
• Comfortable working with global stakeholders across time zones and cultural contexts.
• Demonstrated success presenting to VP- and C-level audiences and influencing product or business strategy.
• Excellent communication, storytelling, and cross-functional collaboration skills.
Preferred Qualifications
• Experience in a high-growth online platform, mobile app, or global tech company.
• Familiarity with user journey analytics, international KPI benchmarking, and cohort/funnel analysis.
• Understanding of agile product development and how analytics can drive iterative improvement.
• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face) and business process automation tools.
• Demonstrated ability to pilot and scale innovative solutions from concept to production implementation.
• Multilingual proficiency or experience working in pan-Asian markets is a plus.