Data & Analytics Specialist
Tasks
- Analyze e-commerce funnel and marketplace performance
- Build BI models based on business metric definitions
- Build and maintain Power BI semantic layer
- Create analytics for sales channels conversion and retention
- Define data modeling naming and trust standards
- Deliver finance reporting for margin and product channel performance
- Integrate marketing and CRM data into warehouse
- Maintain data quality and canonical data model
- Own data platform architecture and pipelines
- Provide analytics for inventory supply fulfillment returns and cost to serve
- Resolve data discrepancies between systems
- Support CRM lifecycle and retention analytics
- Support performance marketing reporting and attribution
- Use AI in day to day analytics workflows
Perks/Benefits
Skills/Tech-stack
AI for analytics | Attribution Modeling | Automation | BI reporting | BigQuery | Customer Lifetime Value | Customer Retention | Data Modeling | Data Quality | Data Warehousing | ELT | ETL | GA4 | Klaviyo | Lifetime Value | Medallion Architecture | Pipeline Development | Power BI | Power BI Semantic Model | SQL | Semantic Model | Web Analytics
Education
N/A
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