Dentsu is looking to solve the problem of integrated measurement across multiple accounts and lines of business, driving innovation through advanced statistical modeling, attribution, brand equity analysis, and clean room integrations.
Requirements
- 12+ years of experience in analytics, with deep expertise in statistical modeling, econometrics, and marketing measurement.
- Proficiency in SQL and statistical programming (Python or R).
- Demonstrated experience with clean room technologies (LiveRamp or equivalent) and privacy-compliant measurement approaches.
- Knowledge of both digital and offline measurement, including attribution, MMM, and linear TV impact.
- Understanding of ad operations, tagging, and QA processes.
- Experience using SQL, Python, or R to perform advanced analytics analysis
- Experience with data visualization solutions (Tableau, Power BI, Datorama)
Responsibilities
- Define and lead integrated measurement strategies across multiple accounts, spanning marketing mix modeling, attribution, brand equity, and clean room–based approaches.
- Oversee advanced statistical modeling and econometric analyses to quantify marketing's impact on business outcomes.
- Lead high-priority ad hoc projects, such as frequency-to-brand impact studies, audience deep dives, and causal lift experiments.
- Drive the evolution of clean room–based analytics solutions (e.g., LiveRamp or equivalent), enabling secure, privacy-safe, cross-platform measurement.
- Oversee data collection, tagging, and QA practices to safeguard accuracy and enable advanced modeling.
- Improve processes and workflows to scalability and consistency across engagements.
- Lead the development of data visualization solutions (Tableau, Power BI, Datorama)
Other
- Bachelor's degree in Statistics, Economics or related quantitative field, required
- Exceptional leadership, communication, and client relationship skills, with the ability to influence at the executive level.
- Direct experience with marketing programs for QSR/ CPG/ FMCG companies preferred
- Travel requirements not specified, but flexibility available for location
- Must be eligible to work in the United States
