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Analytics Engineer- Data Operations & Governance Job Opening In Singapore, Singapore – Now Hiring Confidential


Job description

  • 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) 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

Seniority level

  • Seniority level

    Not Applicable

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology

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Required Skill Profession

Database, Analytics & Bi


  • Job Details

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Unlock Your Analytics Engineer Potential: Insight & Career Growth Guide


Real-time Analytics Engineer Jobs Trends (Graphical Representation)

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Are You Looking for Analytics Engineer Data Operations & Governance Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Confidential adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Analytics Engineer Data Operations & Governance typically include Database, Analytics & Bi and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Confidential interview tips for Analytics Engineer  Data Operations & Governance

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Before the Interview:

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Other Openings

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Final Thought:

To prepare for your Analytics Engineer Data Operations & Governance interview at Confidential, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Confidential's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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