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Analytics Engineer- Data Operations & Governance
Job summary
A leading company in the cryptocurrency sector seeks an experienced professional in data governance and analytics. The role requires strong technical skills in SQL and Python or JavaScript, along with the ability to develop tools and manage data pipelines. Candidates should be adept at scraping technologies and possess analytical skills to influence business decisions through data.
Qualifications
- Expert-level SQL and strong Python or JavaScript skills for data transformation.
- Experience in data governance processes (e.g., Segment, GA4, Mixpanel).
- Proven design and maintenance of data pipelines.
Responsibilities
- Design and maintain governance frameworks for user-event data.
- Build and deploy internal data tools using JavaScript or Python.
- Architect automated web-scraping systems to gather competitor insights.
Skills
- 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 usingJavaScriptorPython. 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.
- 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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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