Principal Data Analyst, Marketing Analytics
Tasks
- Build measurement literacy and training
- Build performance marketing reporting framework
- Calculate and optimize CAC metrics
- Collaborate on data and signal infrastructure for measurement
- Design and execute incrementality experiments
- Develop decision framework integrating signal health attribution and incrementality
- Document experiments and MMM refreshes
- Drive adoption of measurement outputs for budget allocation
- Evolve marketing attribution methodology
- Manage marketing mix modeling portfolio
- Own LTV CAC KPI reporting
- Partner with growth and acquisition teams on measurement plans
Perks/Benefits
Skills/Tech-stack
Analytics engineering | Attribution API | Bayesian Modeling | BigQuery | Causal Inference | Churn | Cookie tracking | Cost Optimization | Customer Acquisition | Customer Acquisition Cost | Customer Acquisition Cost Optimization | DBT | Difference-in-differences | Experimental Design | Google Ads | Google Meridian | Incrementality testing | Lifetime Value | Lightdash | Lightweightmmm | Looker Studio | Marketing Mix | Marketing Mix Modeling | Meta Ads | Metabase | Mix Modeling | Multi-Touch Attribution | Multi-touch) | Post Cookie Tracking | Privacy First | Privacy-first measurement | Propensity scoring | Pymc | Pymc-marketing | Python | R | ROAS) | Robyn | SQL | Server Side | Server Side Tracking | Snowflake | Stan | Synthetic control | Tableau | Tensorflow Probability | TikTok Ads
Education
N/A
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