Accountabilities:

- Portfolio Strategy and Business Intelligence

Develop customer segmentation and clustering strategies based on profiles, transactional behavior, growth potential, profitability, and risk.

Analyze customer cohorts, lifecycle stages, retention, inactivity, recovery, and engagement patterns.

Identify opportunities for customer acquisition, activation, monetization, expansion, and retention.

Build commercial and financial prioritization models based on economic potential, conversion probability, and execution effort.

Develop customer lifecycle strategies tailored to different customer profiles and relationship stages.

- Business Performance and Financial Analysis

Monitor and analyze key business indicators, including commercial performance, activation, TPV, receivables assignments, revenue, margins, and profitability.

Investigate significant performance variations, identifying growth patterns, declines, slowdowns, inactivity, and recovery opportunities.

Formulate and validate hypotheses to understand the drivers behind business performance changes.

Analyze portfolio behavior by customer, segment, channel, sales representative, product, and period.

Produce executive-level reports and recommendations supported by evidence and measurable economic impact.

- Revenue Growth and Monetization

Identify opportunities to increase TPV, receivables transactions, revenue, and contribution margins.

Develop monetization strategies aligned with customer profiles, potential, and financial behavior.

Evaluate profitability by customer, segment, and cohort, considering revenue, servicing costs, and economic contribution.

Support initiatives aimed at increasing customer lifetime value (LTV), retention, and adoption of financial products.

Identify opportunities to reactivate customers experiencing declining transaction volumes or inactivity.

Assess the financial feasibility and expected return of commercial initiatives.

- Commercial Strategy and Initiative Management

Work alongside commercial leadership to define portfolio priorities and growth opportunities.

Support the development of targeted offers, campaigns, and commercial approaches.

Structure activation, retention, recovery, and expansion initiatives with clear objectives, responsibilities, timelines, and performance indicators.

Monitor execution, identify deviations, and recommend adjustments when necessary.

Measure the impact of implemented initiatives on activation, TPV, retention, revenue, and profitability.

Contribute to monthly business performance reviews through strategic analysis and recommendations.

- Data Intelligence and Advanced Analytics

Collaborate with BI and Technology teams to define data requirements, integrations, business rules, and portfolio management indicators.

Support the development and improvement of analytical databases, ensuring data consistency, traceability, and reliability.

Specify dashboards, reports, automated alerts, and analytical tools to support commercial and financial decisions.

Identify data gaps and recommend solutions to improve analytical capabilities.

Explore and implement BI, artificial intelligence, and advanced analytics tools to improve productivity and decision-making.

Support predictive modeling, customer propensity analysis, segmentation, anomaly detection, and automated performance monitoring.

Validate analytical and AI-generated results, considering business context, data quality, and methodological limitations.

Requirements

Bachelor's degree in Business Administration, Economics, Engineering, Statistics, Data Science, Information Systems, or a related field.

Significant experience in business intelligence, analytical portfolio management, commercial performance, growth, monetization, or related areas.

Professional experience in acquiring, payment processing, credit, fintech, financial services, or businesses managing recurring customer portfolios.

Strong background in customer behavior analysis, segmentation, cohort analysis, activation, retention, and profitability.

Proven ability to investigate performance variations, formulate and validate hypotheses, and translate analytical findings into business recommendations.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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