Senior Business Intelligence and Portfolio Performance Analyst

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Organize customer portfolio segmentation and clustering based on profiles, transactional activities, growth potential, profitability, and associated risks.

• Create analyses for cohorts, lifecycles, propensity, retention, inactivity, and customer recovery.

• Spot opportunities for acquisition, activation, engagement, expansion, monetization, and retention.

• Develop models for commercial and financial prioritization.

• Formulate strategies for customer lifecycle management.

• Conduct regular analyses of commercial KPIs, including activation, TPV, receivables assignment, revenue, margin, and profitability.

• Recognize performance variations, interpret them, and investigate their sources.

• Analyze portfolio behavior across customers, segments, channels, sales personnel, products, and time periods.

• Generate executive-level diagnostics that include conclusions, recommendations, priorities, and projected economic impacts.

• Identify growth drivers for TPV, receivables assignment, revenue, and contribution margin.

• Establish monetization strategies and profitability analyses.

• Assist initiatives aimed at maximizing relationship value, retention, and the expansion of the financial portfolio.

• Direct commercial priorities and support tailored offers, campaigns, and approaches based on customer profiles.

• Structure, monitor, and evaluate initiatives related to activation, retention, recovery, and expansion.

• Contribute to PER’s Monthly Management Cycle.

• Define information requirements, integrations, business rules, and KPIs in collaboration with Business Intelligence and Technology teams.

• Participate in advancing analytical data foundations and specify dashboards, reports, alerts, and automated analyses.

• Develop KPIs for acquisition, conversion, activation, engagement, retention, inactivity, monetization, and profitability.

• Assess and utilize BI, artificial intelligence, and advanced analytics tools.

• Support models for propensity, forecasting, segmentation, and identification of risks and opportunities.

• Validate the outcomes of analytical tools and AI models while collaborating with technical specialists and vendors.

⛳️ Requirements

• Bachelor’s degree in Business Administration, Economics, Engineering, Statistics, Data Science, Information Systems, or a related discipline.

• Demonstrated experience in business intelligence, analytical portfolio management, commercial performance, growth, monetization, or similar fields.

• Experience in merchant acquiring, payment methods, credit, fintech, financial services, or businesses with recurring customer portfolios.

• Familiarity with analyzing customer behavior, segmentation, cohorts, activation, retention, and profitability.

• Proven capability to investigate performance variations, formulate and validate hypotheses, and convert analyses into business recommendations.

• Proficiency in SQL and autonomy in data exploration, querying, and validation.

• Skilled in BI tools such as Power BI or equivalent, along with expertise in constructing and interpreting management KPIs.

• Practical understanding of applied statistics, trend analysis, seasonality, correlation, and results assessment.

• Ability to convert analyses into actionable priorities and initiatives with measurable economic effects.

• Strong executive communication skills, structured thinking, and the ability to collaborate across functions.

• Preferred: specific experience in merchant acquiring, TPV, receivables advance, receivables assignment, and financial portfolio monetization.

• Preferred: familiarity with Python and predictive modeling methodologies.

• 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 assessment.

• Preferred: experience in data integration initiatives and enhancing business analytics maturity.

🏝️ Benefits

• Assistance for pursuing undergraduate and graduate degrees, as well as online and in-person training opportunities.

• A special day off on your birthday.

• Internal events.

• A growth-oriented environment that fosters continuous learning.