[India] Associate Engagement Lead - Marketing Mix

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

You'll run MMM engagements from framing the problem through final recommendations
You'll assess multi-channel data to measure channel contribution, effectiveness, and ROI
You'll use regression, adstock, and saturation methods to guide budget choices
You'll turn model findings into client presentations with clear recommendations
You'll help teams deliver quality work and build lightweight MMM reporting tools

What you bring

At least three and a half to five years in marketing mix modeling and marketing analytics
Hands-on pharma commercial analytics experience
A strong grounding in regression, econometrics, or statistical modeling
Working ability in Python or R and SQL
Experience presenting to clients, ideally from consulting or analytics

Who this fits

You’ll suit a senior analytics professional who can connect pharma marketing measurement with practical budget decisions. The role is based in Pune, India, and calls for client-facing communication, stakeholder management, and strong ownership of delivery. Pharma consulting or analytics experience is preferred.

From the employer

About ProcDNA
ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle -
you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA. Ready to join our epic growth journey?

Role Overview

We are seeking a Marketing Mix Analytics Lead to drive measurement and optimization of marketing investments for pharmaceutical clients. This role focuses on Marketing Mix Modelling (MMM) to quantify channel impact, evaluate ROI, and support data-driven budget allocation decisions. The ideal candidate brings strong experience in MMM within the pharma domain, along with the ability to translate analytical outputs into clear, actionable business insights.

Key Responsibilities

Lead end-to-end Marketing Mix Modeling (MMM) engagements, from problem structuring to final recommendations
Analyze multi-channel marketing data to quantify channel effectiveness, contribution, and ROI
Apply statistical techniques such as regression modeling, adstock, and saturation curves
Translate model outputs into business insights and budget optimization strategies
Develop client-facing presentations with clear storytelling and structured recommendations
Collaborate with cross-functional teams to ensure high-quality delivery and alignment with business objectives
Support development of lightweight analytical tools and solutions for MMM and reporting workflows

Required Qualifications

3.5 - 5 years of experience in Marketing Mix Modeling and marketing analytics
Hands-on experience in pharma commercial analytics
Strong foundation in regression, econometrics, or statistical modeling
Proficiency in Python or R and SQL
Experience in client-facing roles, preferably within consulting or analytics organizations

Preferred Qualifications

Experience with advanced MMM techniques (e.g., Bayesian methods, time-series modeling)
Exposure to measurement frameworks such as Test & Control or incrementality analysis
Familiarity with data platforms (e.g., Snowflake, Databricks) and visualization tools (e.g., Power BI, Tableau)
Experience building lightweight analytical tools or applications

Key Competencies

Strong analytical and problem-solving skills
Ability to translate complex analysis into clear business recommendations
Effective communication and stakeholder management
High ownership and delivery focus

Preferred Background

Candidates with experience in pharma consulting or analytics firms are strongly preferred