The Business Intelligence Analyst for the Credit Enablement team delivers the insights and data-driven recommendations that support the growth of Zalopay's lending products. You will own recurring analytical delivery and reconciliation while contributing to strategic analysis across product, marketing, and risk. This is not a query-service role, you own each piece of work end-to-end, from clarifying the question to landing the insight.
Key Responsibilities
1. Operational Analytics & Reporting
Ensure reporting accuracy through data validation, quality controls, standardized logic, and clear documentation.
Handle ad-hoc analytical requests end-to-end, clarify scope, deliver validated output, and communicate results that stakeholders can act on.
2. Deep-Dive Analysis & Business Insight
Conduct deep-dive analyses on user acquisition, retention, churn, and risk metrics; investigate anomalies and communicate root causes with recommended actions.
Measure the impact of implemented initiatives and continuously refine metrics and recommendations to support ongoing business improvement.
3. Analytics Infrastructure & Standards
Collaborate with Data Platform, Data Service, and Risk teams to build and standardize shared data foundations - reusable layers, metric definitions, pipelines, and event tracking - so analysis stays consistent and scalable across the team.
Requirements
Must Have
Bachelor's degree in Business Analytics, Data Science, Statistics, Economics, Computer Science, or a related quantitative field.
2+ years of hands-on BI/
Data Analyst experience with end-to-end delivery ownership.
Strong SQL proficiency, with hands-on experience extracting, transforming, and analyzing large and complex datasets. Experience with data modeling and analytical frameworks.
Fundamental knowledge of statistical programming language (Python, R) to manipulate and draw insights from large data sets.
Proactive and accountable - manages own timeline and multiple stakeholders, validates output before sending, and delivers under tight timelines without escalating every conflict.
Nice to Have
Prior experience in fintech, digital lending, digital payments.
Basic understanding of dimensional modeling (dim/fact tables, Star or Snowflake schema).
Stay up-to-date with the latest data technologies and trends. Hands-on use of AI/GenAI tools (Claude, ChatGPT, Gemini) in real analytics work.