Predictive Analyst II

🕒 Junho 23

🌐 México, Brasil – Remoto

🇲🇽 México – Remoto 🇧🇷 Brasil – Remoto

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧐 Analista

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Capgemini

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1967

💼 Consultoria

🏥 Saúde

📦 Logística

Consulting • Healthcare • Logistics

A Capgemini é líder global em parceria com empresas para transformar e gerenciar suas operações aproveitando o poder da tecnologia. Com expertise em uma ampla gama de setores, como aeroespacial, automotivo, bancário e saúde, a Capgemini oferece um portfólio de serviços em constante evolução para atender às necessidades, em constante mudança, de seus clientes. Suas ofertas incluem Cloud, cibersegurança, dados e inteligência artificial (IA), e gestão empresarial, entre outras. A Capgemini também enfatiza inovação e sustentabilidade, ajudando as empresas a alcançar a transformação digital enquanto promove a responsabilidade ambiental e social. Além disso, a Capgemini oferece oportunidades de carreira em diversos níveis e profissões, incentivando a inovação e a diversidade em sua força de trabalho.

Descrição

• Contribute to the development and implementation of predictive analytics to support key business decisions • Apply statistical and analytical techniques to build models and generate actionable insights • Develop and maintain data pipelines, ETL processes, and data transformations to support analytics workflows • Perform data extraction, preparation, and integration across multiple sources, ensuring data quality and reliability • Use SQL and programming tools (Python, R) to analyze large datasets and create analytical solutions • Evaluate model performance and contribute to ongoing enhancements and optimization • Design reports and visualizations to communicate insights and track performance metrics • Conduct ad-hoc analyses to support emerging business questions and priorities • Partner with business stakeholders and communicate findings effectively to both technical and non-technical audiences • Build strong understanding of the enterprise data landscape, including finance and insurance data domains (pricing, underwriting, claims) • Contribute to continuous improvement of analytics processes, tools, and methodologies • Operate with a high degree of autonomy, proactively building relationships and driving initiatives forward in a fast-evolving environment

🎯 Requisitos

• 3+ years of experience in data analytics, predictive analytics, or a related field • Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering or similar); Master’s degree is a plus • Background in insurance industry is strongly preferred (pricing, underwriting, claims), but not mandatory • Actuarial knowledge or qualification is a plus • Strong hands-on experience with: • - SQL (advanced) • - ETL and data pipeline development (advanced) • Working knowledge of: • - Python and/or R (intermediate) • Familiarity with data warehousing solutions such as Snowflake is a plus • Understanding of predictive modeling concepts and statistical analysis • Strong analytical thinking and attention to detail • Ability to work independently with minimal guidance in an unstructured, evolving environment • Curiosity and ownership to understand data sources, systems, and business context end-to-end • Excellent communication skills, with the ability to clearly present insights and “tell the story behind the data” • Relationship-building mindset, proactively engaging stakeholders across functions • Adaptability and comfort working in a fast-paced, startup-like environment within a larger organization • Experience working with finance or enterprise datasets is a plus • Exposure to executive-level presentations or stakeholder engagement is highly valued.

🏖️ Benefícios

• Comprehensive benefits package • Career development and training opportunities • Flexible work arrangements • Dynamic and inclusive work culture within a globally renowned group • Private Health Insurance • Pension Plan • Paid Time Off • Training & Development