Analytics Engineer- Data Operations

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 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 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 usingJavaScript orPython . 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) QualificationsExperience 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 Seniority level Seniority level Not Applicable Employment type Employment type Full-time Job function Job function Engineering and Information Technology Referrals increase your chances of interviewing at Crypto.com by 2x Get notified about new Data Engineer jobs in Singapore, Singapore . Junior Data Analyst - Business Intelligence, Regional Operations Information Technology - Data & Analytics Engineer We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr