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Senior Business Intelligence and Portfolio Performance Analyst
Grupo Real. Structure customer portfolio segmentation and clustering based on profile, transactional behavior, growth potential, profitability, and risk .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in customer portfolio segmentation, lifecycle management, and commercial performance analysis, with a strong focus on developing actionable insights and strategies for growth and profitability. Proficient in utilizing business intelligence tools and advanced analytics to drive decision-making and enhance customer engagement.
Highest-signal resume keywords
Business IntelligenceCustomer Lifecycle ManagementSQL ProficiencyAnalytical Portfolio ManagementCommercial Performance Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisStatistical AnalysisSegmentationCohort AnalysisProfitability AnalysisMonetization StrategiesPerformance Variation InvestigationKPI DevelopmentPredictive ModelingTrend Analysis
Soft Skills
Executive CommunicationStructured ThinkingCross-Functional CollaborationProblem SolvingHypothesis Formulation
Tools & Technologies
Power BIBusiness Intelligence ToolsAnalytical AI ToolsCRM SystemsAutomated Analysis Platforms
Industry Keywords
Merchant AcquiringFintechPayment MethodsRecurring Customer PortfoliosFinancial Services
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Structure customer portfolio segmentation and clustering based on profile, transactional behavior, growth potential, profitability, and risk
- Develop cohort, lifecycle, propensity, retention, inactivity, and customer recovery analyses
- Identify acquisition, activation, engagement, expansion, monetization, and retention opportunities
- Build commercial and financial prioritization models
- Develop customer lifecycle management strategies
- Structure recurring analyses of commercial KPIs, activation, TPV, receivables assignment, revenue, margin, and profitability
- Identify and interpret performance variations and investigate their causes
- Analyze portfolio behavior by customer, segment, channel, salesperson, product, and period
- Produce executive-level diagnostics with conclusions, recommendations, priorities, and estimated economic impact
- Identify growth levers for TPV, receivables assignment, revenue, and contribution margin
- Develop monetization strategies and profitability analyses
- Support initiatives to maximize relationship value, retention, and expansion of the financial portfolio
- Guide commercial priorities and support offers, campaigns, and approaches tailored to customer profiles
- Structure, track, and measure activation, retention, recovery, and expansion initiatives
- Support PER’s Monthly Management Cycle
- Define information requirements, integrations, business rules, and KPIs with Business Intelligence and Technology teams
- Contribute to the evolution of analytical data foundations and specify dashboards, reports, alerts, and automated analyses
- Develop acquisition, conversion, activation, engagement, retention, inactivity, monetization, and profitability KPIs
- Evaluate and apply BI, artificial intelligence, and advanced analytics tools
- Support propensity, forecasting, segmentation, and risk and opportunity identification models
- Validate the results of analytical tools and AI models and collaborate with technical specialists and vendors
Requirements
What you’ll need- Bachelor’s degree in Business Administration, Economics, Engineering, Statistics, Data Science, Information Systems, or a related field
- Proven experience in business intelligence, analytical portfolio management, commercial performance, growth, monetization, or related areas
- Experience in merchant acquiring, payment methods, credit, fintech, financial services, or businesses with recurring customer portfolios
- Experience analyzing customer behavior, segmentation, cohorts, activation, retention, and profitability
- Demonstrated ability to investigate performance variations, formulate and validate hypotheses, and translate analyses into business recommendations
- Knowledge of SQL and autonomy in data exploration, querying, and validation
- Proficiency with BI tools such as Power BI or equivalent, as well as in building and interpreting management KPIs
- Practical knowledge of applied statistics, trend analysis, seasonality, correlation, and results evaluation
- Ability to translate analyses into priorities and initiatives with measurable economic impact
- Executive communication skills, structured thinking, and the ability to work cross-functionally
- Preferred: specific experience in merchant acquiring, TPV, receivables advance, receivables assignment, and financial portfolio monetization
- Preferred: knowledge of Python and predictive modeling techniques
- Preferred: experience with analytical AI tools, automated analysis, and advanced analytics platforms
- Preferred: experience implementing propensity models, advanced segmentation, and behavioral forecasting
- Preferred: experience with CRM, customer lifecycle strategies, and campaign automation
- Preferred: knowledge of experimentation methodologies, A/B testing, and incremental impact evaluation
- Preferred: experience in data integration projects and advancing business analytics maturity
Benefits
Comp & perks- Support for pursuing undergraduate and graduate degrees, as well as online and in-person training
- Special day off on your birthday
- Internal events
- Growth-oriented environment with encouragement for continuous learning