Data Analyst, Credit Cards – NPV & Unit Economics

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

📋 Description

• Develop and sustain NPV / unit economics models utilizing Python and SQL (ensuring clean, testable, and version-controlled logic).

• Create dependable datasets essential for economic analysis (including cohorts, cash flows, losses, funding, fees, and revenue streams) in collaboration with fellow analysts.

• Streamline scenario executions and conduct sensitivity analyses (addressing pricing, limits, and product modifications).

• Assess model outputs against actual portfolio performance and examine discrepancies.

• Convert model logic into specifications ready for implementation as necessary.

• Be prepared to take on responsibilities outside your defined role when required — we prioritize ownership over strict job descriptions.

⛳️ Requirements

• 2-3+ years of practical experience in data analytics.

• Expertise in Python (particularly pandas) and SQL for data analysis and implementation.

• Strong comprehension of unit economics and financial modeling principles (including cash flows, NPV, and cohorts).

• Exceptional attention to detail — minor errors can disrupt economics in production.

• A solid understanding of unit economics is essential (this includes a deep grasp of the concept, experience in modeling, or at least familiarity with such models).

• Direct experience in unit economics modeling for credit products is considered a significant advantage.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and career advancement.

• Flexible work environment with remote work options.

• Comprehensive health and wellness benefits.