Modelling & Data Science Manager

Job Description

Key responsibilities: TAM, Share of wallet analysis and modeling, Next best action modelingIntegrates disparate datasets, conducts data preparation for analyses Basic Qualifications: Bachelor s or Master s in Business analytics, Data Science, Mathematics, Statistics or equivalent experience 3-4 years experience with data analysis, descriptive analytics Experienced with the application of basic statistics and data-analysis in a business environment (trend discovery and analysis, correlation and pattern discovery, text mining, etc.) Experience in data analytics, advanced analytics, data science or related field Has advanced level experience using SQL (or Google Big Query), Vertex AI, Python Understands retail/CPG domain with experience on product, transaction and customer level data Strong interpersonal communications skills (verbal, presentation and written) Strong problem-solving skills, analytical and inquisitive mindset Focused on results and able to work closely with others in collaborative environment Energetic & Self-Starting Desired skills: Proficient with data discovery and exploration, strong use of analysis tools Has intermediate to advanced level Tableau experience in line with descriptive analytics Has strong data structuring, management, harmonization and analysis experience Builds end to end analytical solutions and business consumption oriented dashboards Identifies insights from analyses and proposes recommendations or next best actions Continues to expand and enhance his technical knowledge and skillset, mentors junior team members and contributes to knowledge sharing and advancement in the org Directly engages with clients across all project stages of discovery, design, delivery, deployment Manages and mentors a team of analysts, contributing to their technical and career development Applies data science methods to provide insights and recommendations to clients Maintains knowledge of new trends in the data science industry Independently manages data science projects and delivery to clients Develops and manages code used for analytics purposes Communicates findings and insights