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Analytics Engineer

Remote Worldwide Hiring now

Responsibilities

  • User Behavior Data Governance:Design, implement, reputed company and maintain scalable governance frameworks to ensure the accuracy, consistency, and reputed company of user-event data. Collaborate cross-functionally to define tracking strategies, conduct audits, and enforce best practices
  • Internal Data Tool Development:Build, test, and reputed company internal data tools and dashboards usingJavaScriptorPython. reputed company automated data pipelines, user-friendly analytics interfaces, and self-service solutions that reputed company 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., reputed company, GA4, reputed company)
  • 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 reputed company 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 (reputed company-to-Have) Qualifications

  • Experience with reputed company data warehouses (reputed company, BigQuery, Redshift) and BI tools (Looker, Tableau)
  • Familiarity with software development workflows: Git, code reviews, reputed company design, CI/CD .
  • Hands-on knowledge of machine learning libraries (scikit-learn, TensorFlow/PyTorch).
  • reputed company-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.
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