fintechaipythonsqla b testingunit economicsdata analyticsproduct analyticsdashboardscustomer journey mapping
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Крутая вакансия
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Четко структурированная роль с понятным скоупом в растущем финтехе и современным стеком. Единственный минус - отсутствие вилки в описании.
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Зарплата не указанаСовременный стекТрендовый доменПонятный скоупБыстрый рост
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Product Analyst (Fintech): Analyzing end-to-end credit line and card customer journeys to identify growth opportunities and product issues with an accent on KPI definition and A/B testing. Focus on translating analytical findings into actionable product recommendations and improving risk-adjusted profitability.
Location: Workday must start no later than 2 PM (GMT+8) / 7 AM (CET) to ensure collaboration with the international team.
Company
A rapidly expanding fintech company serving millions of customers in the Philippines through its lending business.
What you will do
Analyze end-to-end customer journeys for credit lines and cards, identifying behavior patterns, product issues, and growth opportunities.
Define and own KPI definitions for credit products to ensure consistent measurement across the organization.
Translate findings into actionable product recommendations and impact estimates to support roadmap prioritization.
Design and evaluate A/B tests, including hypothesis formulation, success metrics, and post-launch performance monitoring.
Investigate performance anomalies and root causes in collaboration with Risk, Fraud, Finance, and IT teams.
Maintain the analytical foundation, including dashboards, tracking quality, and automation of recurring workflows.
Requirements
5+ years of experience in Product or Data Analytics, preferably in fintech, banking, or e-commerce.
Strong product thinking with experience analyzing funnels, cohorts, retention, and unit economics.
Advanced SQL skills for working with complex datasets and producing reliable conclusions.
Experience designing experiments, including statistical power and confidence interval interpretation.
Ability to communicate findings and prioritization proposals effectively to technical and business stakeholders.
Nice to have
Knowledge of credit portfolio metrics (approval rate, delinquency buckets, roll rates, cost of risk).
Experience with BI tools such as Tableau, Power BI, Looker, Metabase, or Superset.
Proficiency in Python or R, dbt, ETL/ELT workflows, or dimensional data modeling.
Experience with causal inference, attribution, or AI-assisted analytics workflows.
Culture & Benefits
Collaboration within a diverse international team.
Rapidly growing environment within the fintech sector.
Efficient hiring process with feedback typically provided within 2–3 business days.
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