Overview This individual will support the Sector DX Analytics and Insights agenda helping setup Store DNA and leveraging that information to deliver solution for driving actionable insights for the AMESA Sector and key Markets. Key responsibilities will be to understand the data availability in different markets, develop solutions using advanced analytics, artificial intelligence, machine learning and deep learning projects to support perfect store agenda. Optimizing and integrating different data sets to enable the undertaking of advanced analytics to identify growth opportunities. Responsibilities Clean and prepare data for use in advanced analytics, artificial intelligence, and machine learning projects. Build analysis in Python with accompanying documentation. Execute predictive and prescriptive analytics with an emphasis on actionable insights to be deployed in the market. Advise and share Advanced Analytics models with Sectors and Markets to leverage and build Advanced Analytics capability. Develop, maintain, and apply statistical models to business questions - including clustering, segmentation, forecasting etc. Provide responses to ad-hoc follow-ups when double-click (additional questions) required with tables/charts for relevant data. Create visualizations to be used in explaining and clarifying difficult concepts and analytical insights. Qualifications Master’s degree in business, Marketing, Engineering: MBA a plus. Must know how to write SQL and extract data from large and small databases. Ability to translate business and technical requirements into non-technical terms. Demonstrated experience in handling large data sets and relational databases. High-level written and verbal communication skills. Provide ad-hoc analysis and deliverables as requested. Experience using Tableau/Power BI, Python and other Visual Analytics and Statistics tools. Results oriented with the ability to complete assignments in a timely manner. Proficient in Microsoft Excel and PowerPoint with the ability to quickly learn various in-house applications. Detail-oriented with dedication to continuous improvement. Familiarity with usage of Azure Cloud Services (Databricks, Blob Storage) and Snowflake. Essential Ability to work in diverse teams. Language skills English – business fluent. Possess ability to analyze & benchmark competitive scenarios. Excellent written and oral communication skills; consistently communicates using appropriate methods for situation and audience in clear, concise, and professional manner. Ability to work collaboratively and proactively with multi-functional teams. Be flexible, organized, and able to handle competing priorities. Solution-oriented approach to problem solving. Depth and breadth of syndicated data analytics and statistical modeling. Complete understanding of internal & external data sources that could contribute to analytics roles across service centers. Strong analytical thinking with proven ability to connect data & insight from category consumption, brands drivers, macro & micro trends, and future forces of consumer change and deliver clear implications for the business. Stakeholder management and prioritization of tasks for junior members. Act as SME for a region/market.