Senior Manager - Advanced Analytics / Data Science
Masters or MBA in Applied Mathematics, Statistics, Economics or other related fields with an emphasis in quantitative methods is required.
Experience and Skills :
Strong leadership, communication and interpersonal skills; effective manager of people and strong team-building skills is required.
Experience in information-intensive industries or digitally advanced enterprises are preferred.
Working knowledge of the CPG business (both client and supplier), the information that drives it, and the analytical approaches that are appropriate is preferred.
Strong domain expertise with experiences in multivariate statistical analysis including regression, regression tree, logistic regression, cluster analysis, behavioral market structure etc. is required.
Knowledge of data structure; information systems / tools, and related software and data management; enterprise content management, and record-keeping policies and practices are required.
Demonstrated strength in examining issues, influencing effectively across the organization, driving people, process and technology change is required.
Demonstrated ability to improve organizational performance through the application of creative thinking to existing and emerging methods, processes, products and services is required.
Employs good judgment in resolving how innovations will be deployed to produce a value outcome is required
Key Responsibilities :
Day to day management of marketing analytics practice, coordinating and aligning the delivery and support of marketing analytics for the region and markets, ensuring adoption of globally defined standards across all key stakeholder groups while engraining analytics in key decisions to drive outcomes.
Clearly and continuously communicate analytic vision, ensuring on-going regional stakeholder sponsorship and alignment.
Serve as change agent within the company; makes recommendations that are clearly linked to the organization's strategy and financial goals and drive performance improvement;
manage analytic and data supplier and sourcing strategy with and disciplined processes to manage, gather, and integrate data from internal, external, syndicated, unstructured / structured sources.
Ensure overall analytic capabilities are meeting business needs by adopting globally defined advanced capabilities (or developing regional capabilities) that ensure consistent use of modeling, simulation, forecasting and discovery methods to drive decision-making across all marketing and customer teams : o Develop and deploy globally standardized processes, predictive and real-time models with advanced simulation tools that drive spend and performance optimization opportunities
Drive sustainable revenue growth through the delivery and ongoing support of marketing mix modeling, marketing spend optimization, sales forecasting modeling, digital and programmatic advertising, pricing, promotion, assortment simulation models and insights-driven decision-making
Demonstrate and deploy globally developed consistent processes, sales forecasting and business planning methods including demand sensing, causal factors and risk volatility
Use market structures to derive differentiated consumer / shopper insights that improve understanding of our consumers and the marketplace, leading to larger product launches, execution excellence and innovation.
Focus on consumer and shopper segmentation, market / purchase structure, brand offer optimization, test and learn analysis, and other improved performance programs.