Overview This individual will support the Sector DX Analytics and Perfect Store BU agendaS helping APAC Perefectstore agenda and leveraging that information to deliver solution for driving actionable insights for the APAC Sector and Key focus on Aus. By partnering with the Sector COEs , spearhead a dynamic team of Data Scientists , Category Management Analysts, PicOs team to drive the seamless execution of Perfect Store DX agenda throughout the sector Enhance operational efficiency and expand our capabilities by implementing cloud-based technologies and advanced visualization suites, ensuring standardized and scalable processes across our operations. Key responsbibilities 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 Act as the primary point of contact for Markets and Global teams Bring functional-level expertise in perfect store delivery Oversee the end-to-end process, including stakeholder engagement Guide service delivery experts in market calls/meetings, as required Work closely with sector + demand planners on contracting and prioritization Take on execution responsibilities where applicable This role is essential for driving the alignment and execution of the perfect-store initiative across multiple markets, especially as we move towards an E2E delivery model. Responsibilities Primary point of contact for Markets/Global. Responsible for end-to-end oversight, stakeholder engagement, overall delivery Guide service delivery experts for market calls/meetings, wherever required Work closely with sector + demand planner on demand contracting & prioritization Will also have execution responsibilities wherever required Responsible for perfect store models by leveraging advanced analytics, artificial intelligence, and machine learning projects Guide the Data Scince team in technical transalation Execution (Model building-Python based ML ) need basis Advise and share Advanced Analytics models with Sectors and Markets to leverage and build Advanced Analytics capability for all perfect store modules Develop, maintain, and apply statistical models to business questions - including clustering, segmentaion, forecasting etc. Provide responses to ad-hoc follow-ups when double-click (additional questions) required with tables/charts for relevant data Model Results presentation to stakeholders Qualifications • Masters 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 Python or cloud based model execution ( Azure Dat Bricks, ML Flow ) • 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 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