Roles & Responsibilities
Engagement Execution
- Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions.
- Apply advanced statistical techniques and machine learning models to improve marketing effectiveness.
- Collaborate with clients to develop tailored market mix models, delivering data-driven insights to optimize their marketing budgets and strategies.
- Develop Proof of Concepts (PoC) for clients, including scoping, staffing, and execution phases.
Practice Enablement
- Mentor and guide analysts, consultants, and managers to build their expertise in Market Mix Modeling and analytics.
- Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and the development of new methodologies.
- Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events.
Opportunity Development
- Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients.
- Work closely with deal teams to provide subject matter expertise in MMM, ensuring the development of high-quality client proposals and responses to RFPs.
Client Relationship Development
- Build and maintain strong, trusted relationships with internal and external clients.
- Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance.
Professional & Technical Skills
- 5+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques.
- Strong knowledge of nonlinear optimization, AI/ML models, and advanced statistical techniques for marketing.
- Proficiency in programming languages such as Python, NumPy, Pandas, Sklearn, Seaborne, Pycaret, and Matplotlib.
- Experience with cloud platforms such as AWS, Azure, or GCP and data migration to Snowflake.
- Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis).
- Hands-on experience in managing data pipelines and deploying scalable machine learning architectures.
Additional Information
- Master's degree in Statistics, Econometrics, Economics, or related fields from reputed universities.
- Ph.D. or M.Tech is a plus.
- Excellent communication and interpersonal skills to effectively collaborate with global teams and clients.
- Willingness to travel up to 40% of the time.
- Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights
Experience:
- 5+ years of advanced experience in Market Mix Modeling (MMM) and related optimization techniques for promotional channels and budget allocation
- 2+ years for Analysts & 4+ years for Consultants of experience in consulting/analytics with reputed organizations
Educational Qualification:
- Master's degree in Statistics, Econometrics, Economics, or related fields from reputed institutions
- Ph.D. or M.Tech in relevant fields is an advantage
