Marketing Mix Model_8+Yrs
1 day ago
Primary Title: Senior Marketing Mix Modeling Analyst
Industry & Sector:
Management consulting focused on Marketing Analytics, Advanced Attribution and ROI Measurement. We partner with large consumer brands, retail, telecom and financial services to translate marketing investments into measurable business outcomes using econometrics, media-mix modeling and causal inference.
Location & Work Type:
India — On-site. Experience level: 8+ years in marketing analytics / MMM / econometrics.
Role & Responsibilities
- Lead end-to-end Marketing Mix Modeling engagements: scope projects, ingest & clean cross-channel media and sales data, engineer features, select and estimate models, and deliver validated ROI estimates and elasticities.
- Develop and maintain robust econometric and time-series models (OLS/GLS, hierarchical/Bayesian, state-space) to quantify marketing impact, seasonality, promotions, price effects and base demand.
- Translate model outputs into actionable media optimisation and budget-allocation scenarios; run simulations and present trade-offs to senior client stakeholders.
- Produce reproducible analysis and production-ready pipelines in R/Python with clear documentation, version control and model governance; ensure reproducibility and deployment-readiness.
- Design and implement holdout tests, uplift measurement, and geo/experiment-based validation to strengthen causal claims and model reliability.
- Mentor junior analysts, establish best-practice playbooks for model validation, and present concise executive-level recommendations to cross-functional teams.
Skills & Qualifications
Must-Have
- 8+ years of hands-on experience in Marketing Mix Modeling, econometrics or advanced marketing analytics with proven client-facing consulting experience.
- Strong programming skills in R or Python for statistical modeling (experience with statsmodels, scikit-learn, brms/PyMC/Stan is highly preferred) plus advanced SQL.
- Deep knowledge of media channels, promotions, pricing effects and practical implementation of elasticity-based optimisation.
- Excellent communication skills with a track record of translating technical results into clear business recommendations for senior stakeholders.
Preferred
- Experience with Bayesian hierarchical modeling, state-space models, and cloud-based analytics (AWS/GCP) or deployment pipelines.
- Familiarity with experimentation (geo-experiments), marketing attribution frameworks and visualization tools (Tableau, Looker).
Benefits & Culture Highlights
- Competitive compensation with performance-based incentives and on-site India role offering exposure to marquee CPG/retail/telecom clients.
- Fast-paced consulting environment that values technical rigor, client impact, and professional growth—opportunities to lead complex, high-visibility engagements.
- Structured mentorship, training budget, and clear career progression for analytics leaders.
Keywords: Marketing Mix Modeling, MMM, econometrics, media mix modeling, marketing ROI, elasticities, time-series, Bayesian modeling, R, Python, SQL, on-site India, senior analyst, consulting.
Skills: marketing mix modeling,marketing mix,modeling
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