Job Summary: Act as the focal point between global and local teams, translating analytical solutions and developing digital products focused on business value and robust architecture. Key Highlights: 1. Strategic engagement with Analytics/AI and global data architecture. 2. Development and industrialization of scalable digital assets. 3. Transformation of data into actionable insights with a value focus. **Inclusion and respect for diversity and equity are part of KPMG’s DNA.** **Here, we value all individuals, encouraging and empowering our professionals to feel integral to our achievements.** **Regardless of your age, gender, race, color, creed, sexual orientation, ethnicity, national origin, or disability, we invite you to make a difference. Join the KPMG team!** **️‍ ️‍ ️ ✊** **✝️** **Inspire Confidence. Empower Change.** **At KPMG:** ----------------- * We do what is right **\#Integrity** * We learn and continuously improve **\#Excellence** * We think and act boldly **\#Courage** * We respect one another and strengthen ourselves through our differences **\#Together** * We focus on what truly matters **\#ForBetter** **Responsibilities and Duties:** ------------------------------------ **If selected, you will have the opportunity to:** * Serve as the primary point of contact between global Analytics/AI and data architecture teams and local project teams, ensuring technical alignment and prioritization. * Translate global analytical solutions into practical, scalable, and technology-architecture-compliant implementations for each client. * Support the design and evolution of data and analytics architectures (data lakes, data warehouses, lakehouses, and data pipelines). * Develop and industrialize digital assets integrated with multiple data sources and databases, ensuring robust, scalable, and sustainable architecture. * Develop analytical products and transform data into actionable insights focused on generating business value. * Build and implement statistical models for forecasting, classification, segmentation, and behavioral analysis. * Structure and conduct analytical experiments (hypothesis definition, data exploration, statistical testing, and result evaluation). * Collaborate with engineering and architecture teams to ensure solution performance, governance, security, and scalability. * Create and maintain dashboards and visual narratives to support executive decision-making. * Interact with stakeholders at various levels, understand business challenges, and recommend data-driven solutions. * Lead meetings, presentations, and technical discussions, communicating results clearly and impact-oriented. * Contribute to standardizing metrics, models, data governance, and analytical best practices across regional projects. **Requirements and Qualifications:** ------------------------------- **What are we looking for in you?** * Bachelor’s degree in Statistics, Mathematics, Computer Science/Engineering, Engineering, or related fields. * Proven experience in applied Data Science to business problems. * Proficiency in Python and/or R. * Knowledge of SQL. * Experience with Power BI (dashboards and visual analytics). * Advanced English for interaction with global teams. **Why join KPMG?** ----------------------------------- * We work with the latest technologies; * Our professionals are market leaders; * We are one of the world’s largest professional services firms; **What benefits do we offer?** -------------------------------- * Meal Voucher * Food Voucher * Medical Insurance * Dental Insurance * Transportation Voucher * Well-being Benefit (Gym) * Pharmacy Partnership * Life Insurance * KPMG Prev * Daycare Assistance * Undergraduate Education Incentive * Language Learning Incentive * Professional Association Subsidy * Wedding Gift * Birth Gift * Extended Maternity Leave * Flexible Working Hours * My Time: up to 6 full days per year — or 12 half-days — for you to take a break, care for yourself, and use as you wish, whenever needed. * PPL