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Data Analytics Executive / Supervisor

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Onsite

Data Analytics Executive / Supervisor

Mirae Asset Finance Company (Vietnam)

Data Analytics Executive / Supervisor

Skills

SQL QueriesPythonData AnalysisBudgetingPower BI

7 days ago

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Important information


Contract type:

Permanent

Location:

Ho Chi Minh City, Vietnam

Work mode:

Onsite

Published on:

13 October 2026

What they need


Objective: Manage reliable data sources and deliver accurate, timely reports and actionable insights to support business planning, performance monitoring and management decision-making. Improve reporting efficiency through automation and strengthen data quality in collaboration with relevant departments.

Key responsibilities:

  • Maintain the department’s data warehouse and reporting datasets, ensuring accuracy, completeness and timely updates.

  • Develop and automate daily, weekly and monthly performance reports and Power BI dashboards. • Analyze business requirements and develop reports covering financial performance, products, sales channels, underwriting and collections.

  • Validate and reconcile data across departments; investigate discrepancies and coordinate corrective actions.

  • Prepare and validate data to support loan classification and loan loss provisioning calculations (VAS & IFRS), P&L analysis, budgeting, forecasting, financial modeling and KPI tracking.

  • Improve reporting processes through SQL, Excel and other automation tools.

  • Coordinate with IT and relevant departments on data and reporting requirements.

  • Senior Executive / Supervisor level: Lead complex assignments, review reporting outputs and coach junior staff. For Supervisor, coordinate workload and delivery timelines.

  • Perform other duties assigned by the line manager, Head of Department or CFO.

Job Requirements:

  • Bachelor’s degree in Data Analytics, Information Systems, Finance, Statistics or a related field.

  • Relevant experience in data analytics or reporting; consumer finance or banking experience is preferred.

  • Strong SQL, advanced Excel and Power BI skills; Python or VBA is an advantage.

  • Understanding databases, data quality controls, data confidentiality, financial statements and business performance metrics

  • Strong analytical, problem-solving and communication skills.

  • Detail-oriented, proactive and able to manage priorities and meet deadlines.

  • Senior Executive / Supervisor: Experience managing complex assignments, reviewing analytical outputs and mentoring team members.

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