Descriรงรฃo da Vaga
Title: Data Analyst
Location: Hybrid (Sao Paulo, Brazil)
Type: Full-time (CLT)
Job Description:
We are seeking a highly analytical and business savvy Senior Data Analyst to drive insights and decision making for our financial products portfolio including credit analysis loans and credit cards
In this role you will combine data science expertise with business acumen to design data driven strategies optimize risk models and enhance customer experience You will work closely with stakeholders across Product Risk and Technology teams to transform raw data into actionable intelligence
Key Responsibilities
Lead the design and execution of advanced analytics for credit risk loan performance and card usage
Develop and maintain dashboards KPIs and reporting frameworks using Google Data Studio and Looker
Perform deepdive analyses to identify trends anomalies and opportunities for growth or risk mitigation
Modeling Insights
Collaborate with Data Scientists to build and validate predictive models for credit scoring fraud detection and customer segmentation
Apply statistical techniques and machine learning methods to improve decisionmaking in underwriting and portfolio management
Translate complex data findings into clear actionable recommendations for business leaders
Collaboration Communication
Partner with Product Managers and Finance teams to align analytics with business objectives
Present insights and strategies to senior stakeholders ensuring clarity and impact
Act as a bridge between technical teams and business units fostering a datadriven culture
Required Qualifications
Experience 5 years in data analytics or business analysis preferably in financial services
Education Bachelors or Masters degree in Data Science Statistics Economics or related field
Technical Skills
Advanced proficiency in SQL and Python for data manipulation and analysis
Experience with Google BigQuery for largescale data processing
Strong knowledge of statistical modeling and predictive analytics
Business Skills
Deep understanding of credit products risk management and financial KPIs
Ability to translate data insights into business strategies
Preferred Qualifications
Familiarity with machine learning frameworks Scikitlearn TensorFlow for credit risk modeling
Experience with Google Cloud Platform GCP services like Vertex AI Cloud Functions and PubSub
Knowledge of regulatory compliance eg Basel GDPR and data governance in financial services
Ready to Apply?
Don't miss this opportunity! Apply now and join our team.
Detalhes da Vaga
Data de Publicaรงรฃo:
January 22, 2026
Tipo de Vaga:
Tecnologia
Localizaรงรฃo:
Brazil
Company:
GeorgiaTEK Systems Inc.
Ready to Apply?
Don't miss this opportunity! Apply now and join our team.