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Predictive Analyst II
Location
Mexico
Posted
1 day ago
Salary
0
Seniority
Senior
Job Description
Predictive Analyst II
Capgemini
• 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
Job 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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