Related skills
bigquery looker sql python tableau📋 Description
- Define analytics data infrastructure strategy and architecture; curate datasets.
- Own end-to-end metrics from stakeholders to dashboards.
- Design data models and analytics frameworks using SQL, Python, and modern stack.
- Develop data quality, monitoring, anomaly detection, and alerts at scale with governance.
- Promote consistent data modeling, naming conventions, docs, and metric governance.
- Lead cross-functional initiatives; mentor engineers to strengthen data systems.
- Make decisions under ambiguity; balance short-term delivery with long-term infra.
🎯 Requirements
- 7+ years in analytics or data engineering, building curated datasets.
- 7+ years designing and maintaining robust data models from varied sources.
- Expert SQL and strong Python; solid version control and CI/CD.
- Experience implementing data quality audits, monitoring, and automated remediation.
- Experience building executive dashboards/reports with BI tools (Looker, Tableau).
- Strong business acumen and communication; translate questions into metric definitions.
- Track record collaborating with Data Science, Finance, and Product teams.
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