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Mid-Level Data and Analytics Analyst, Fraud Prevention
Banco Daycoval. Map, understand, and document databases, data sources, and business rules for the Fraud Prevention area.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in SQL and Python for data analysis and automation, with a strong focus on fraud prevention metrics and dashboard development. Capable of conducting root-cause analysis and providing cross-functional support in operational risk and customer service.
Highest-signal resume keywords
Advanced SQL SkillsPython Data AnalysisTableau Dashboard DevelopmentProcess Automation/RPAFraud Prevention Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQL QueryingData AnalyticsData ValidationData IntegrationETL ProcessesData QualityMetrics DevelopmentRoot-Cause AnalysisExploratory Data AnalysisAutomation Solutions
Tools & Technologies
TableauPythonRPA ToolsData LakesBusiness Intelligence Tools
Industry Keywords
Fraud PreventionFinancial InstitutionsCustomer Service DataOperational RiskBanking Products
Tech Stack
Tools & technologiesETLPythonRPASQLTableau
About the role
Key responsibilities & impact- Map, understand, and document databases, data sources, and business rules for the Fraud Prevention area.
- Develop SQL queries to extract, integrate, process, and validate large volumes of data.
- Use Python for exploratory analyses, data processing, and automated routines.
- Build and maintain Tableau dashboards, ensuring information reliability, traceability, and up-to-date reporting.
- Define metrics for volume, productivity, operational capacity, SLA, analysis time, case criticality, and complexity.
- Develop criteria to measure productivity using a weighted approach that accounts for the difficulty, risk, and effort involved in each analysis.
- Create strategic metrics related to losses prevented, amounts recovered or preserved, litigation costs, and the effectiveness of corrective and preventive actions.
- Analyze incidents by product, channel, customer journey, transaction type, and classification, identifying patterns, trends, anomalies, and vulnerabilities.
- Support root-cause analysis and recommendations for Fraud Prevention, Operational Risk, Product, Customer Service, Legal, and other areas.
- Develop automation and RPA solutions to reduce manual activities and increase efficiency and security.
- Provide cross-functional support to the Diagnosis and Certification and Investigation and Enforcement workstreams.
- Document queries, automations, rules, metrics, and procedures.
Requirements
What you’ll need- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Information Systems, Engineering, Economics, Business Administration, or a related field.
- Experience in fraud prevention, diagnosis, investigation, or combating fraud.
- Solid experience in Data Analytics, Business Intelligence, or data analysis applied to operations.
- Advanced SQL skills for querying, joining, validating, and manipulating large datasets.
- Practical knowledge of Python for data analysis, processing, and automation.
- Experience building and maintaining dashboards and management metrics.
- Experience with process automation and/or RPA.
- Knowledge of ETL processes, data integration, data quality, and data validation.
- Experience developing productivity, efficiency, SLA, capacity, or operational performance metrics.
- Preferred: experience in banks, fintechs, financial institutions, acquirers, payment companies, or insurance companies.
- Preferred: knowledge of banking products such as credit cards, payroll-deductible loans, personal and business accounts, payment slips, foreign exchange, and digital customer journeys.
- Preferred: experience with customer service data, complaints, legal proceedings, risk, or financial operations.
- Preferred: advanced Tableau skills.
- Preferred: experience with data lakes, data architecture, or high-volume, multi-source environments.
Benefits
Comp & perks- Medical and Dental Insurance: Comprehensive coverage for quality medical and dental care.
- Meal/Food Allowance
- Life Insurance
- Childcare Assistance
- Assistance for Employees with Children with Disabilities
- Extended Maternity and Paternity Leave
- Profit Sharing or Results-Based Bonus (PLR)
- Results-Sharing Program
- Education Assistance
- Discount Partnerships
- Personal Day
- TotalPass – Wellness Incentive
- Workplace Exercise Program
- Musicantes: Free music and singing classes for employees
- Brincar de Viver: Theater activities and storytelling sessions
- Quality of Life Program: Free projects and events focused on health and well-being