Business Intelligence Analyst (Financial Services), Zalopay

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 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.

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.