Director, Data Analyst/BI Engineer
Tasks
- Architect BI stack end to end
- Build data and measurement ecosystem roadmap
- Configure CDPs and customer match workflows
- Design data warehouse ingestion transformation modeling
- Develop Python data pipelines and ETL
- Drive marketing data stack consent tagging and measurement troubleshooting
- Ensure pipeline observability and data quality
- Implement governed semantic layer with Looker LookML
- Implement privacy by design with CCPA and GDPR
- Implement tag management with GTM Tealium and server side tracking
- Lead identity and clean room data workflows
- Provide executive client technical advisory and escalation
- Set data governance access governance and cost management
- Set signal capture strategy with consent mode and conversions api
Perks/Benefits
Skills/Tech-stack
AWS | Access Control | Aggregated Event Measurement | Airflow | BigQuery | Business Intelligence | By Design | CCPA | CM360 | CPRA | Clean room | Cloud platform | Consent Mode | Conversions API | Cost Management | Customer Data | Customer Data Platform | Customer Match | DBT | DV360 | Data Engineering | Data Governance | Data Modeling | Data Warehousing | Data platform | ELT | ETL | Enhanced Conversions | Event measurement | Fivetran | GDPR | Google Ads | Google Cloud | Google Cloud Platform | Google Tag | Google Tag Manager | Identity resolution | LookML | Looker | Matillion | Meta Ads | Mobile Measurement | Offline Conversion Import | Privacy by Design | Python | SA360 | SQL | Server Side | Server-side Tagging | Skadnetwork | Snowflake | Tag Manager | Tealium
Education
N/A
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