Analytics Engineer

Singapore
Full time
Hybrid
Compensation is not specified
Role
Data Engineer
Description

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.
Skills Required
Avatar
Сrypto.com
Company size
Not specified
Location
United States
Description
Not specified

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