Analytics Engineer Hong Kong, Hong Kong SAR Product Management & Product Design – Product Management / Full-time / Hybrid Apply for this job Responsibilities: User Behavior Data Governance: Design, implement, develop and maintain scalable governance frameworks to ensure the accuracy, consistency, and integrity of user-event data. Collaborate cross-functionally to define tracking strategies, conduct audits, and enforce best practices Internal Data Tool Development: Build, test, and deploy internal data tools and dashboards using JavaScript or Python. Develop automated data pipelines, user-friendly analytics interfaces, and self-service solutions that empower business teams Competitive Intelligence & Data Scraping: Architect and maintain automated web-scraping systems to gather competitor insights—such as pricing, feature sets, and market trends. Ensure solutions are efficient, robust, and compliant with legal and ethical guidelines. Machine Learning & Advanced Analytics: Apply statistical methods or machine learning models to unlock business value—such as forecasting user behavior, predicting churn, or optimizing product features. Requirements: Expert-level SQL and strong Python or JavaScript abilities for data transformation and tool development Proven experience implementing data governance or event instrumentation processes (e.g., Segment, GA4, Mixpanel) Data Pipeline & ETL/ELT Expertise: Track record designing and maintaining data pipelines using frameworks like dbt, Airflow, Talend, or similar Web Scraping Competency: Comfortable with scraping technologies and libraries, and adept at orchestrating automated scraping workflows. Analytical & Problem-Solving Skills: Demonstrated ability to break down complex problems, translate stakeholder needs, and produce clean, documented data solutions . Collaboration & Communication: Excellent at bridging terminology between technical and business stakeholders. Clear, concise in written and verbal communication Preferred (Nice-to-Have) Qualifications Experience with cloud data warehouses (Snowflake, BigQuery, Redshift) and BI tools (Looker, Tableau) Familiarity with software development workflows: Git, code reviews, modular design, CI/CD . Hands-on knowledge of machine learning libraries (scikit-learn, TensorFlow/PyTorch). Front-end development experience (React, Vue, Node.js) to build polished internal tools. Awareness of data privacy, legal compliance, and ethical considerations in scraping and data governance. Apply for this job When applying, mention the word CANDYSHOP to show you read the job post completely.