Related skills
looker salesforce r sql pythonπ Description
- Bridge growth strategy with a data stack; define measurement frameworks.
- Lead analysts to turn data into insights that optimize marketing spend.
- Architect attribution (MTA) and MMM to evaluate channel impact.
- Build churn propensity models, lead scoring, and forecasting for automation.
- Champion testing and experimentation for incrementality.
- Create automated executive dashboards and real-time KPI reporting.
π― Requirements
- Experience: 10+ years in Marketing Analytics, BI, or Data Science; β₯3 years in leadership.
- SQL and Python/R for data manipulation.
- Visualization: Tableau, Looker, or Power BI.
- GA4, Google Tag Manager, and CRM data (Salesforce/HubSpot).
- Stats and experimental design (A/B testing, regression, significance).
- SaaS/B2B marketing analytics; strong communication; fluent English.
π Benefits
- Work from anywhere
- Flexible paid time off
- Flexible working hours
- 16 weeks paid parental leave
- Stock options
- Learning budget
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