Head Analytics - Media trading & buying Mumbai, Maharastra
- Mumbai, Maharashtra
- Permanent
- Full-time
- Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
- Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
- Strategic operating partner: Translate leadership priorities into clear roadmaps, OKRs, and decision frameworks. Run exec rhythms, prep materials, and align cross-functional teams on trading and analytics goals.
- Analytics leadership: Own measurement strategy, forecasting, and scenario modelling for TV and digital, including reach/GRP, CPM inflation, delivery risk, and outcome KPIs. Ensure methodological rigor and consistency.
- Forecasting and scenario planning: Model inflation, supply constraints, and campaign outcomes; quantify trade-offs and recommend portfolio-level actions. Maintain weekly executive-ready outlooks. Trigger mitigation plans for under-delivery, including reallocation, makegoods, and creative/flight optimizations.
- Reporting and automation: Standardize dashboards and alerts for pacing, cost, quality, and outcomes. Drive automation to reduce manual reporting and accelerate decision cycles.
- Team leadership: Lead a small team of analysts. Hire, coach, and scale best practices in experimentation, mixed methods, and business storytelling.
- Executive communications: Convert complex analyses into crisp narratives and choices. Build board-ready materials on market dynamics, performance, and risk.
- 15+ years in media investment/trading analytics across TV and digital video (including CTV/OTT), with proven impact on cost, delivery, and outcomes.
- Strong command of media math and measurement, including GRPs, reach/frequency, CPM/CPCV, attribution, incrementality, and MMM/MTA frameworks.
- Hands-on experience with forecasting and scenario modelling for inflation, supply, and under-delivery, and with executing mitigation at scale.
- Demonstrated capabilities of driving cross-functional alignment, running operating cadences, and managing exec priorities.
- Expert in BI storytelling with tools like Tableau, Looker, or Power BI.
- Digital: CM360, DV360, The Trade Desk, YouTube, BARC
- TV/Video data: Nielsen, Comscore; planning and stewardship systems
- Verification and quality: IAS, DoubleVerify.
- Data/BI: Snowflake/BigQuery, dbt (nice-to-have), GA4, Tableau/Looker/Power BI.
- Cost and efficiency: Variance to market inflation, effective CPM/CPCV, savings unlocked via optimization and negotiations.
- Forecasting accuracy: Error rates on weekly/monthly delivery and cost forecasts.
- Automation: Reduction in manual reporting hours and time-to-decision on pacing/optimization.
- Quality and outcomes: PT, PIB, viewability, completion rate, invalid traffic, brand safety, and incremental lift where applicable.
- Stakeholder experience: SLA adherence and internal partner satisfaction (e.g., NPS).
- 30 days: Baseline current trading health, reporting stack, and delivery risks; publish an operating cadence and issue log.
- 60 days: Stand up unified pacing and risk dashboards with alerting; implement a weekly forecast and scenario review.
- 90 days: Reduce under-delivery on inflation KPI, deploy automation to cut manual reporting time by at least 30%