User Behavior Data Governance:Design, implement, reputed company and maintain reputed company 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 reputed company 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 reputed company 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: reputed company 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 reputed company terminology between technical and business stakeholders. reputed company, concise in written and verbal communication