Associate Engagement Lead - Marketing Mix Modeling

ProcDNA; Maharashtra; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

A global consulting firm is seeking a Marketing Mix Analytics Lead to enhance marketing investments for pharmaceutical clients. This role involves leading Marketing Mix Modelling engagements, analyzing data for effectiveness, and translating insights into actionable business strategies. The ideal candidate has 3.5 to 5 years of experience in marketing analytics, particularly within the pharma industry, and is proficient in statistical modeling techniques such as regression. Familiarity with tools like Python, SQL, and visualization platforms is essential.

Qualifications

• 3.5 – 5 years of experience in Marketing Mix Modelling and marketing analytics.
• Hands-on experience in pharma commercial analytics.
• Strong foundation in regression, econometrics, or statistical modeling.

Responsibilities

• Lead end-to-end Marketing Mix Modelling (MMM) engagements.
• Analyze multi-channel marketing data to quantify effectiveness and ROI.
• Translate model outputs into business insights and budget optimization strategies.

Skills

Marketing Mix Modelling

Pharma commercial analytics

Statistical modeling

Python

R

SQL

Tools

Power BI

Tableau

Snowflake

Databricks

Job description

ProcDNA is a global consulting firm that fuses design thinking with cutting‑edge technology to deliver Commercial Analytics and Technology solutions. We have 400+ employees across six offices and value a collaborative, innovation‑driven culture.

Role Overview

We are seeking a Marketing Mix Analytics Lead to drive measurement and optimization of marketing investments for pharmaceutical clients. The 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 and can translate analytical outputs into clear, actionable business insights.

Key Responsibilities

• Lead end‑to‑end Marketing Mix Modelling (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 Modelling 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