Analytics Engineer

P2P; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading company in data innovation is seeking a Data Governance Specialist in Singapore. The role includes designing governance frameworks for user data, developing internal tools, and implementing advanced analytics. Ideal candidates will possess expert-level skills in SQL, Python or JavaScript, with experience in data pipeline design and web scraping.

Qualifications

• Expert-level SQL and strong Python or JavaScript abilities.
• Proven experience in data governance processes.
• History of designing data pipelines using modern frameworks.

Responsibilities

• Design and maintain governance frameworks for user-event data.
• Develop and deploy internal data tools using JavaScript or Python.
• Implement automated web-scraping systems for competitive insights.

Skills

SQL

Python

JavaScript

Data Governance

Web Scraping

Analytical Skills

Collaboration

Job 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.