Data Analyst, RCL

Jobtailor; Manila; On-site; PHP 400,000 - 700,000; Full time

Job summary

Jobtailor in Manila is seeking a data analytics professional to collaborate with the Head of Economics. You will turn model logic into production-ready Python/SQL code and build datasets feeding the model.

You will automate scenario runs, own end-to-end NPV and unit economics modeling for credit cards, and ensure clean, testable model logic with rigorous validation against portfolio performance.

Qualifications

• 2–3+ years of hands-on experience in data analytics.
• Strong Python (pandas) and SQL skills.
• Solid understanding of unit economics and financial modeling.

Responsibilities

• Work directly with the Head of Economics to turn model logic into production-ready Python/SQL code
• Build and maintain datasets feeding the model, including cohorts, cashflows, losses, funding, fees, and revenue, with help from other analysts
• Automate scenario and sensitivity runs to support pricing, limit, and product decisions
• Own the end-to-end NPV / unit economics model for credit cards
• Maintain clean, testable, versioned model logic
• Validate model outputs against actual portfolio performance and investigate gaps
• Translate model logic into clear, implementation-ready specifications for other teams
• Step outside the immediate scope when needed, prioritizing ownership over rigid roles

Skills

Data Analytics Experience

Python (Pandas)

SQL

Financial Modeling

Unit Economics

Cohorts

Cashflows

NPV

Model Validation

Automation

Job description

• Work directly with the Head of Economics to turn model logic into production-ready Python/SQL code
• Build and maintain datasets feeding the model, including cohorts, cashflows, losses, funding, fees, and revenue, with help from other analysts
• Automate scenario and sensitivity runs to support pricing, limit, and product decisions
• Own the end-to-end NPV / unit economics model for credit cards
• Maintain clean, testable, versioned model logic
• Validate model outputs against actual portfolio performance and investigate gaps
• Translate model logic into clear, implementation-ready specifications for other teams
• Step outside the immediate scope when needed, prioritizing ownership over rigid roles

Requirements

• 2–3+ years of hands-on experience in data analytics
• Strong Python (pandas) and SQL
• Solid understanding of unit economics / financial modeling — cashflows, NPV, cohorts — through direct modeling experience or hands-on work with such models
• High attention to detail

Demonstrates expertise in Python and SQL for data analytics, with a strong focus on financial modeling and unit economics. Capable of translating complex model logic into actionable specifications while maintaining high attention to detail.

Highest-signal resume keywords

• Python Programming
• SQL Proficiency
• Financial Modeling
• Data Analytics Experience
• Attention to Detail

Hard Skills

• Python
• SQL
• Data Analytics
• Financial Modeling
• Unit Economics
• Cohorts
• Cashflows
• NPV
• Model Validation
• Automation

Soft Skills

• Ownership
• Collaboration
• Problem-Solving