Local PL Data Analytics Analyst

Description

Job Summary: Data Analytics Analyst (Data Scientist) at CPFL Renováveis, focused on advanced data analysis to generate insights, implement AI/ML methodologies, and lead data analysis projects. Key Highlights: 1. Work with advanced data analysis and big data to generate insights. 2. Implement statistical methodologies, AI, and Machine Learning. 3. Lead data analysis projects for operational gains. **Your future deserves this energy!** We believe the energy you dedicate to your career deserves a return. Therefore, we recognize our people’s dedication and are always seeking those who want to make a difference and build a prosperous and secure career path. At CPFL, you’ll find a solid environment to grow with confidence, with security to evolve and space to build a purpose-driven future. **Local PL Data Analytics Analyst. (Data Scientist).** Where you’ll work: Campinas/SP Work model: On-site. Company: CPFL Renováveis – A company of the CPFL Energia Group. **Prerequisites:** * Completed undergraduate degree in Exact Sciences: Engineering, Statistics, Mathematics, Physics, Computer Science, or related fields; * A Master’s degree in modeling and optimization, rotor dynamics, finite elements, and/or computational fluid dynamics, fluid/structure interaction (completed or in progress) will be considered a plus; * Experience in data science; * Proficiency in programming for data analysis (e.g., Python, Spark); * Familiarity with database query construction (e.g., SQL) is desirable; * Advanced English proficiency is desirable; * Strong analytical ability and ease in modeling, interpreting, and presenting results; * Availability for 100% on-site work in Campinas/SP. **Your day-to-day responsibilities:** * Conduct advanced data analysis (advanced analytics/data science) using big data concepts to generate business insights across CPFL Group units; * Evaluate, propose, and implement statistical, artificial intelligence, and machine learning methodologies, considering context, delivery timelines, and available data; * Lead cross-functional data analysis projects for operational gains across various business units, building relationships with other areas, identifying opportunities, gathering inputs for understanding work scope, and comprehending business rules; * Work on acquisition and processing of complex data, focusing on high-volume datasets, developing replicable extraction code; * Deliver alignment presentations and results to all CPFL audiences, including executive-level reports and documentation of analytical studies; * Monitor production model execution, performance indicator generation, and determine when models require updates; **What we offer:** * Transportation Allowance; * Meal Allowance; * Food Allowance; * Medical Assistance; * Dental Assistance; * 6-month maternity leave and 20-day paternity leave; * Daycare assistance (subject to eligibility criteria); * Life Insurance; * Profit Sharing Program (PLR); * Wellhub; * “Fale Comigo” Program (free, confidential telephone-based advisory service offering psychological, legal, financial, and social support). **Learn more about us:** We operate in Brazil’s electric power sector and boast a strong history since 1912, contributing to the development of cities and states we serve through solutions in **power generation, transmission, distribution, energy trading, and service provision.** Since 2017, the Group has been part of State Grid—the world’s largest electric power company—strengthening our growth strategy and leadership position in Brazil’s electric power sector. Through our distribution companies, we deliver electricity to over 10 million addresses, serving more than 22 million people with the efficiency of our service network. We believe diverse teams and an inclusive environment for all people are fundamental to the sustainability of innovative, customer-focused organizations; therefore, we value diversity and guide our actions to ensure an inclusive culture and equal opportunity for everyone. Want to learn more about CPFL Group? Visit: https://www.grupocpfl.com.br/