[India] Senior Analyst - Marketing Mix Modeling

ProcDNA procdna.com Open · verified Sep 18, 2026

Pune Full-time Senior General Marketing

Senior General Marketing role at ProcDNA. Pune · full-time.

Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

Build and run marketing mix models for pharmaceutical and life sciences brands in the US
Prepare sales, promotional, media, and market data for analysis and modeling
Transform features using adstock, saturation, lags, normalization, and other engineering methods
Assess channel impact, ROI, incremental sales, and promotional response
Turn findings into budget recommendations, client presentations, and stakeholder discussions

What you bring

Two to three years of hands-on marketing mix modeling experience in pharmaceutical and life sciences analytics
Knowledge of regression modeling, model validation, ROI analysis, budget optimization, pathway modeling, and synergy analysis
Experience analyzing HCP promotion, DTC media, digital marketing, and omnichannel data
Proficiency in Python, strong SQL, and advanced Excel and PowerPoint skills
Ability to deliver end-to-end consulting projects and communicate clearly with stakeholders

Who this fits

You’ll suit a senior analyst role that combines pharmaceutical analytics, quantitative modeling, client communication, and consulting delivery. The work is based in Pune, India, and involves collaboration with consulting, data engineering, and commercial strategy teams in a fast-paced environment.

From the employer

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