Senior Data Analyst - Sao Paulo,Brazil

Job - Senior Data Analyst

Work Location – Sao Paulo,Brazil (Hybrid)

Employment Type: Full time

Start date – DOE

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

Data Strategy Analysis

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 decision making 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 data driven culture.

Required Qualifications

Experience 5 years in data analytics or business analysis preferably in financial services

Education Bachelors or Master’s 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 Big Query 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