Perfect Store Manager

Overview

This individual will support the Sector DX Analytics and Insights agenda by helping setup Store DNA and leveraging that information to deliver a solution for driving actionable insights for the AMESA sector and key markets.

Key responsibilities will be to understand the data availability in the market , develop solutions using advanced analytics, and develop deep learning projects to support perfect store agenda

Optimising and integrating different data sets to enable the undertaking of advanced analytics to identify growth opporutunities

Responsibilities

• Work with Sales AS&D, GTM team , Distribution networks & Trade MKT to Ensure execution and key performance MSL list
• Work closely with Demand accelerate Global team & leveraging data analysis to implement and ensure execution at store.
• Understand market and commercial knowledge of TT / MT business & work with Sales / and team to drive execution based on analysis of market clustering, segmentation & forecasting 
• Able to prepare data for use in advanced analytics to support business plan & drive business results
• Lead and emphasize on actionable insights to be deployed and tracked for implementation
• Develop , maintain and apply statistical models to business questions and prepare the business proposal

Qualifications

• Masters degree in Business, Marketing, Engineering: MBA is a plus
• 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
• 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

• 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
• A solution-oriented approach to problem solving
• Depth and breadth of syndicated data analytics and statistical modeling
• A complete understanding of internal and 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