Daiichi Life Việt Nam
BI/Analytics Analyst
Skills
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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