Zalopay
AI tóm tắt
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.
1.
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reporting accuracy through data validation, quality controls, standardized
logic, and clear documentation.
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ad-hoc analytical requests end-to-end — clarify scope, deliver validated
output, and communicate results stakeholders can act on.
2.
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deep-dive analyses on user acquisition, retention, churn, and risk metrics;
investigate anomalies and communicate root causes with recommended actions.
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the impact of implemented initiatives and continuously refine metrics and
recommendations to support ongoing business improvement.
3.
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with the Data Platform team to build and maintain shared data foundations —
reusable layers, standard definitions, pipelines, and event tracking — so
analysis stays consistent and scalable across the team Must
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degree in Business Analytics, Data Science, Statistics, Economics, Computer
Science, or a related quantitative field.
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years of hands-on BI/Data Analyst experience with end-to-end delivery
ownership.
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analyzing large and complex datasets. Experience with data modeling and
analytical frameworks.
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knowledge of statistical programming language (Python, R) to manipulate and
draw insights from large data sets.
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timeline and multiple stakeholders in English and Vietnamese, validates output
before sending, and delivers under tight timelines without escalating every
conflict.
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experience in fintech, digital lending, digital payments..
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understanding of dimensional modeling (dim/fact tables, Star or Snowflake
schema).
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latest data technologies and trends.
use of AI/GenAI tools (Claude, ChatGPT, Gemini) in real analytics work.
Nguồn: careers Zalopay