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
- 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.
Preferred (Nice-to-Have) Qualifications