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analytics sql ai data modeling data quality📋 Description
- Own and evolve analytics data layer for trusted data
- Own core data models; improve quality and consistency
- Design scalable data models enabling self-serve analytics
- Introduce AI-assisted workflows to accelerate insights
- Identify inefficiencies; build tools to boost analytics velocity
- Partner with stakeholders to translate questions into data solutions
- Contribute to analytics practices and standards across the company
- Collaborate with product, engineering, and data teams
🎯 Requirements
- Strong experience in analytics engineering, data modeling, and SQL
- Data quality ownership; accuracy and consistency are essential
- Datasets/metrics as products requiring maintenance
- Excited about applying AI to improve analytics workflows
- Builder mindset; proactively improve systems and processes
- Design scalable, maintainable data models and standards
- Clear communication with technical and non-technical stakeholders
🎁 Benefits
- Distributed company; hire regardless of location with Americas overlap
- Remote-first culture; collaborate with product, engineering, and data teams
- Commitment to equal opportunity and accessibility
- Work that shapes analytics at scale with AI-enabled insights
- Global, entrepreneurial team with education impact
- Access to resources and career information on our site
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