Manager

Role: Marketing Mix Modeling (MMx) Manager
Location: Hybrid
Experience: 6-10+ Years

About the Role

We are seeking a highly analytical and business-oriented professional to join our Commercial Analytics team as a Marketing Mix Modeling (MMx) Manager. The role will focus on designing, developing, and implementing advanced MMx solutions to measure marketing effectiveness, optimize investments, and generate actionable recommendations for clients and stakeholders.

Key Responsibilities

• Lead end-to-end MMx engagements, including data preparation, model development, validation, and insight generation.
• Develop and maintain statistical models to quantify the impact of marketing and commercial activities on business outcomes.
• Analyze channel performance across HCP, DTC, Digital, Media, Sales Force, Events, Samples etc.
• Generate ROI, mROI, response curves, incrementality, and optimization recommendations.
• Partner with cross-functional teams to translate analytical findings into business actions and strategic recommendations.
• Present complex analyses and recommendations to senior stakeholders and clients.
• Ensure model quality, documentation, and adherence to best practices.
• Mentor junior team members and support capability building within the MMx practice.

Required Qualifications

• Bachelor's or Master's degree in Statistics, Economics, Mathematics, Engineering, Data Science, or a related quantitative field.
• 6+ years of experience in Marketing Mix Modeling, Commercial Analytics, or Advanced Analytics.
• Strong understanding of regression techniques, statistical modeling, and marketing effectiveness measurement.
• Hands-on experience with Python, R, SQL, or similar analytical tools.
• Experience working with large datasets and building data-driven recommendations.
• Strong communication and stakeholder management skills.

Preferred Qualifications

• Experience in pharmaceutical or healthcare analytics.
• Knowledge of Incrementality Testing, MTA, Attribution, and Optimization.
• Familiarity with cloud platforms, Dataiku, Databricks, or similar analytics ecosystems.
• Experience managing client relationships and leading project teams.

Skills: Marketing Mix Modeling (MMx), Regression Modeling, Marketing Analytics, Commercial Analytics, Python, R, SQL, Data Visualization, ROI Analysis, Optimization, Stakeholder Management, Pharma Analytics (preferred).