Predictive Analyst II

🕒 June 23

🌐 Mexico, Brazil – Remote

🇲🇽 Mexico – Remote 🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧐 Analyst

👻 Ghost score 18%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Capgemini

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1967

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• 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

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