Data Specialist

• Lead the development, validation, implementation, and monitoring of statistical and Machine Learning models applied throughout the credit lifecycle, including Credit Score, Behavior Score, PD, LGD, EAD, Collection Scoring, propensity models, and credit limit models.
• Develop predictive models using statistical and Machine Learning techniques, evaluating different approaches to enhance model discrimination and predictive power.
• Conduct cut-off and risk-return trade-off studies, translating model results into recommendations and rules applicable to credit policies.
• Collaborate with Credit, Risk, Data, and Business teams, connecting analytical results to origination strategies and portfolio management.
• Evaluate and incorporate alternative data, credit bureau information, and new data sources to enhance models.
• Monitor model performance and stability in production, tracking metrics such as KS, Gini, AUC, PSI, and CSI.
• Identify degradation, performance deviations, and changes in portfolio behavior, proposing model recalibration, retraining, replacement, or enhancement.
• Participate in model backtesting, calibration, and validation processes, ensuring robustness and compliance with business and regulatory requirements.
• Drive the continuous improvement of modeling techniques, tools, and methodologies used by the department.

Credit Data Modeling Specialist

• Create and edit reports and dashboards.
• Work on database modeling and design focused on Business Intelligence and Big Data solutions.
• Develop, maintain, and monitor data Extraction, Transformation, and Loading (ETL) processes, database routines, and OLAP cubes.
• Optimize database structures, analytical queries, and ETL processes.
• Administer and monitor databases, applying best practices for continuous improvement.
• Implement new projects.
• Perform other duties related to the role.

BI, Dashboards and Big Data Specialist

• Serve as the project's primary analytical and technical data reference for the Medical Career project
• Connect data infrastructure to strategic decision-making
• Work with Data Engineering to define the architecture and data ingestion requirements for LMS, CRM, RD Station, and ERP systems
• Lead data transformation (ETL), building, testing, and documenting tables, views, and data marts
• Transform raw data into business entities ready for analysis
• Ensure data governance and quality by creating validation and monitoring rules
• Design and develop complex executive and management dashboards
• Conduct user behavior analyses, including cohorts, LTV, CAC, and churn/attrition risk
• Apply statistical models to anticipate educational and commercial scenarios
• Translate technical findings into action plans for non-technical leaders
• Act as the technical counterpart to Growth and the Data Product Owner, defining solution architecture, feasibility, and analytical execution
• Design and validate event-tracking infrastructure using GTM, Amplitude, or similar tools
• Ensure statistical rigor in A/B testing and marketing-channel attribution modeling

Data Intelligence Specialist

• Define and implement data solutions applied to industrial processes in the Energy industry
• Support initiatives related to Oil Exploration and Production, Refining, Gas Processing, and Thermoelectric Power Generation
• Apply knowledge of industrial physical and chemical processes to interpret and process data from sensors and industrial systems
• Contribute to solutions focused on production optimization, energy efficiency, operational and process safety
• Support initiatives involving Asset Performance Management (APM), operational and maintenance risk analysis, and operational excellence
• Collaborate with Data, BI, Data Engineering, and other specialists, incorporating industrial business knowledge into solutions
• Work with industrial data solutions and technologies such as AVEVA/PI, Cognite, and Dataiku, according to project requirements

Industrial Data Specialist – Oil & Gas

• Work closely with the analytics team within the Planning and Control department.
• Develop performance indicators and prepare targeted analyses to address requests from various departments.
• Create and monitor recurring reports based on identified needs.
• Collaborate on the development of scenarios and analyses to support strategic decision-making, ensuring data reliability.
• Standardize and maintain the data environment through ETL (Extract, Transform, Load) processes using SQL databases.
• Build interactive Power BI dashboards to identify trends, support decision-making, and monitor relevant data.
• Collaborate with different teams to understand their needs and translate them into relevant analyses.

Data Specialist jobs in Brazil

Credit Data Modeling Specialist

BI, Dashboards and Big Data Specialist

Data Intelligence Specialist

Industrial Data Specialist – Oil & Gas

Senior Planning and Control Specialist – Data