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Urgent! Analytics Engineer- Data Operations & Governance Job Opening In Singapore, Singapore – Now Hiring Confidential
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 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
Seniority level
Seniority level Not Applicable
Employment type
Employment type Full-time
Job function
Job function Engineering and Information Technology
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Real-time Analytics Engineer Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Analytics Engineer in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 30460 jobs in Singapore and 26008 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Analytics Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Confidential is currently hiring and seeking a Analytics Engineer Data Operations & Governance to join their team. Feel free to download the job details.
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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:The average salary range for a Analytics Engineer Data Operations & Governance Jobs Singapore 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.
Key qualifications for Analytics Engineer Data Operations & Governance typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview: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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