Marketing Science Senior Analyst - BI, Conversational Analytics & Data Engineering
Tasks
- Build semantic layers
- Build unified data models
- Collaborate with cross-functional teams
- Conduct campaign analysis
- Create automated validation
- Create calculated metrics
- Define KPIs
- Design dashboards
- Design data pipelines
- Develop anomaly detection
- Develop automated insight generation
- Develop measurement frameworks
- Develop reporting frameworks
- Enable conversational analytics
- Enable self-service analytics
- Execute audience segmentation
- Generate performance reports
- Implement attribution analysis
- Implement data governance
- Measure marketing effectiveness studies
- Monitor performance alerts
- Perform forecasting
- Present insights to stakeholders
- Run data quality checks
- Run trend analysis
- Support QBR reporting
- Translate business needs into reporting requirements
Perks/Benefits
- Compassionate leave
- Employee discounts
- Flex days
- Internal learning and development programs
- Maternity and parental leave
- Online services for families
- Sick days
- Vacation
Skills/Tech-stack
Anomaly Detection | Attribution | Audience Segmentation | Business Intelligence | Cloud Data | Cloud Data Platforms | Conversational Analytics | Dashboarding | Data Governance | Data Modeling | Data Quality | Data platforms | ELT | ETL | Forecasting | KPI | Language Processing | Natural Language | Natural Language Processing | SQL | Semantic layer | Trend analysis
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