- 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.