Client Leadership
Modeling & Methodology
Product & Process
Team Development
Thought Leadership
Must-Have Skills
Statistical & ML chops : regression, Bayesian methods, uplift modeling, causal inference
Marketing analytics toolset : MMM platforms (e.g., Robyn, Meta MMM), GA4 / Adobe, SQL / Python / R
Dashboarding : Power BI / Tableau — able to brief data engineers on pipeline requirements
Stakeholder fluency : convert model output into crisp narratives for CMOs & media directors
Team lead exposure : mentored analysts or interns; comfortable assigning tasks & giving feedback
Domain familiarity : alc-bev or CPG advantageous (understanding of ATL / BTL levers, promo cycles)
Nice-to-Have
Experience integrating attention metrics, CEP frameworks, or AI-driven creative diagnostics
Familiarity with Snowflake, dbt, or other modern data-engineering stacks
Certifications in AWS, GCP, or Azure ML services
Success Metrics (First 12 Months)
1. MMM Revamp live in 90 days, delivering ≥ 15 % improvement in model accuracy
2. Quarterly Insight Decks adopted as decision anchor by marketing leadership
3. Analyst NPS ≥ 8 / 10 on coaching & career growth
4. Process Productivity : 20 % reduction in manual dashboard build time via automation
5. Media Embeddedness : 100% of media plans informed by analytics learnings across key brands
Culture & Mindset
Consultative Curiosity – ask “why” before jumping to “how.”
Bias for Delivery – ship useful models over perfect ones; iterate fast.
Mentor at Heart – treat knowledge transfer as part of the job, not a favor.
Story-first Data – believe insights are only valuable when they travel.
Group Head • Thane, IN