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FBS - Predictive Analyst II

3 months, 1 week ago
Mexico, Brazil
Full-time
Junior
Analytics Engineer
Data Science and Analytics
Python R Snowflake SQL
Apply Now
Capgemini

Capgemini

Capgemini is a global leader in consulting, technology services, and digital transformation, empowering businesses with innovative solutions and expertise to thrive in a rapidly evolving market.

Internet Software & Services
100K+
Founded 1967
$93M raised
View All Jobs 34

Description

  • Contribute to the development and implementation of predictive analytics for 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 for analytics workflows.
  • Extract, prepare, and integrate data from multiple sources while ensuring data quality and reliability.
  • Use SQL and Python or R to analyze large datasets and create analytical solutions.
  • Evaluate model performance and support ongoing enhancements and optimization.
  • Design reports and visualizations to communicate insights and track performance metrics.
  • Conduct ad-hoc analyses to address emerging business questions and priorities.
  • Partner with business stakeholders and communicate findings to technical and non-technical audiences.
  • Build understanding of finance and insurance data domains, including pricing, underwriting, and claims.
  • Contribute to continuous improvement of analytics processes, tools, and methodologies.
  • Operate with autonomy to build relationships and drive initiatives 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 such as Mathematics, Statistics, Computer Science, Engineering, or a similar discipline; master’s degree is a plus.
  • Background in the insurance industry is strongly preferred, especially in pricing, underwriting, or claims.
  • Actuarial knowledge or qualification is a plus.
  • Advanced SQL skills.
  • Advanced experience with ETL and data pipeline development.
  • Intermediate working knowledge of Python and/or R.
  • 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 and the ability to present insights clearly and tell the story behind the data.
  • Relationship-building mindset and proactive stakeholder engagement 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

  • Competitive compensation and benefits package.
  • 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 and development support.

Interested in this position?

Apply directly on the company website

Apply Now

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