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BI/Analytics Analyst

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Onsite

BI/Analytics Analyst

Daiichi Life Việt Nam

BI/Analytics Analyst

Skills

SQL QueriesData EngineeringPythonRData AnalysisPower BI

13 days ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

16 October 2026

What they need


Daiichi Life Vietnam is a fast-growing, multi-channel life insurer. A career in the Data Analytics & AI function provides an opportunity to turn enterprise data into practical management insights and frontline actions that improve customer value, sales effectiveness, renewal premium collection and claims management. We are seeking a curious, structured and service-oriented analyst who can combine data discipline, visualization and insurance knowledge to make insights accessible and actionable.

1/ BUSINESS INTELLIGENCE & REPORTING

  • Develop, maintain and enhance management and operational dashboards for key business areas, including FYP, RYP, persistency, upsell / cross-sell, customer engagement and claims.

  • Translate business requirements into clear metrics, data views and reporting specifications, ensuring consistent definitions and reconciliation with source systems.

  • Prepare recurring and ad hoc analyses to identify trends, segment performance, drivers, exceptions and emerging business issues.

  • Produce prioritized customer, policy, agent or claim action lists for approved business interventions and campaigns.

  • Automate recurring reporting and data preparation where appropriate using SQL, Power BI, Excel, R or Python.

2/ DECISION SUPPORT & VALUE MEASUREMENT

  • Support controlled pilots and campaigns by tracking assignment, contact, conversion, collection and claims outcomes.

  • Calculate and communicate incremental business impact, including incremental FYP, incremental RYP, conversion uplift, policies per policy owner and validated claims savings.

  • Work with business owners and data scientists to capture action status, override reasons and frontline feedback for continuous model improvement.

  • Perform data-quality checks, investigate reporting discrepancies and coordinate issue resolution with Data Engineering, Data Warehouse and business teams.

  • Prepare concise management insights and recommendations for project meetings, management committees and business reviews.

REQUIREMENTS:

  • Bachelor degree in Data Analytics, Information Systems, Statistics, Economics, Finance, Actuarial Science, Mathematics or a related field.

  • Minimum 2-4 years of experience in business intelligence, management information, analytics, finance or insurance reporting; strong fresh graduates may be considered for a junior position.

  • Strong SQL, Microsoft Excel and Power BI skills, including data modeling, dashboard design and data reconciliation.

  • Good analytical, problem-solving and data-visualization skills, with strong attention to detail.

  • Ability to translate data into clear business insights and communicate effectively with non-technical stakeholders.

  • Understanding of life insurance KPIs such as FYP, RYP, persistency, conversion and claims is preferred.

  • Experience with R or Python and campaign or experiment measurement is an advantage.

  • Good written and spoken English; collaborative, accountable and willing to learn.

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