Hiring.Camp

[India] Senior Analyst - Marketing Mix Modeling

ProcDNA

·

Jul 28, 2026

Location
Pune, Maharashta
Type
Full-time
Department
Marketing
Seniority
Senior
Closing date
Today
Source
ApplyToJob

Description

About the Role
We are seeking an experienced Marketing Mix Modeling (MMM) Analyst/Senior Analyst with a strong background in pharmaceutical and life sciences analytics. The ideal candidate will have hands-on experience in developing, interpreting, and delivering Marketing Mix Models for pharmaceutical clients and be comfortable working in a consulting environment.

Key Responsibilities:
  • Develop and execute Marketing Mix Models (MMM) for pharmaceutical/lifesciences brands in US.
  • Prepare and integrate sales, promotional, media, and market datasets for modeling.
  • Perform data transformations such as adstock, saturation, lag creation, normalization, and feature engineering.
  • Build, validate, and interpret regression-based MMM models.
  • Analyze marketing channel effectiveness, ROI, incremental sales, and promotional response.
  • Generate actionable recommendations for budget allocation and channel optimization.
  • Develop client-ready presentations and communicate insights to stakeholders.
  • Collaborate with consulting, data engineering, and commercial strategy teams throughout project delivery.
Required Qualifications
  • 2–3 years of hands-on experience in Marketing Mix Modeling (MMM).
  • Mandatory experience in pharmaceutical and life sciences analytics, with exposure to commercial analytics and Marketing Mix Modeling engagements.
Strong understanding of:
  • Marketing Mix Modeling methodology
  • Regression modeling
  • Adstock and saturation techniques
  • ROI and contribution analysis
  • Model diagnostics and validation
  • Budget optimization, pathway modelling and synergy analysis
  • Experience working with HCP promotion, DTC media, digital marketing, and omnichannel promotional data.
  • Excellent analytical and problem-solving skills.
Technical Skills
  • Proficiency in Python.
  • Strong SQL skills.
  • Advanced Excel and PowerPoint.
Experience with statistical techniques including:
  • Linear Regression
  • Ridge/Lasso Regression
  • Bayesian Regression
  • Multicollinearity assessment
  • Time-series data preparation
  • Model validation
Preferred Candidate Profile
  • Experience delivering Marketing Mix Modelling projects for pharmaceutical clients.
  • Ability to independently execute end-to-end MMM engagements.
  • Strong communication, presentation, and stakeholder management skills.
  • Comfortable working in a fast-paced consulting environment.
Location: Pune, India
 

Skills

PythonSQLData EngineeringExcel

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