No Relocation Assistance Offered# 159926 - Sao Bernardo do Campo, Sao Paulo, BrazilWe are excited to announce a compelling opportunity for Data & Analytics Manager to join our team in Brazil This role encompasses support for all CP manufacturing sites in Brazil, and Customer Service & Logistic offering an outstanding opportunity for exposure to leaders and businesses across the entire Colgate organization. This role will play a crucial role in Brazil: Develop and implement comprehensive data and analytics strategies that align with organizational goals and objectives. Lead, mentor, and develop a team of data analysts and data engineer, data engagement engineer, fostering a culture of innovation and continuous improvement. Oversee the design and deployment of data solutions, ensuring the integrity and accessibility of data. Collaborate with global, division and stakeholders to support the strategy roadmap, identify and meet data analytics and digital transformation needs and solutions (presenting insight in a clear and actionable manner). Core Responsibilities: Design, harmonize and leading digital and Data analytic transformation journey for the Supply & Demand organization. Identify and implement new technologies with a focus on digitalization, data analytics for the Supply & Demand organization. Lead data analytic to develop holistic solution for data analytic including: visualization platform - DOMO/ Sigma and also other data pipeline - SQL (Snowflake platform) and advance analytic. Provide guidance and training to foster system/ digital utilization. Lead the D&A influencers. Work in collaboration with projects in Supply and Demand in the area of expertise. Utilize data analytics and business intelligence tools to analyze manufacturing and demand data, identify trends, and make informed decisions for process optimization. Communicates effectively with leadership to transfer information, request resources, and ask for decisions. Facilitates the management of change in processes, the organization, and the culture. Stay abreast of industry trends, emerging technologies, and best practices in manufacturing systems to ensure the organization remains competitive and innovative (Be External). Essential skills, knowledge, and experience: Bachelor's or master's degree in Data Science, Computer Science, Information Management, Statistics, or a related field. Can work with different digitization platforms: Digital workflow, understand plant system Wonderware data flow & structure - can drive the digitization approach to E2E supply chain. Solid experience working for Operations/ Industrial/ CS&L/ engineering departments (preferably in Consumer Goods Industry experience). Great data sense, systematic thinking, excellent in data analysis skills. Excellent communication and interpersonal skills, with the ability to translate complex data into actionable insights for non-technical stakeholders. Demonstrated ability to lead and manage projects, meeting deadlines and budget requirements. Consolidated Knowledge in Operations management/ processes/ Industrial engineering tools & processes. Proven Skills in Project planning, coordinating & management skills. Knowledge in SAP, Minitab, database management, programming languages like Python, Google Appscript, SQL. Data/Information Analysis skills. Excellent written and presentation skills in English.
