OBJECTIVES
The Data Analyst Expert is responsible for leading advanced data analysis, delivering scalable dashboards, and transforming complex datasets into actionable business insights that drive portfolio robustness and profitability. This role requires strong expertise in data analytics and business intelligence, with a deep understanding of financial services or consumer lending, to support strategic decision-making and optimize business performance.
KEY RESPONSIBILITIES
Advanced Dashboarding & Insight Delivery
- Lead the design, development, and optimization of scalable dashboards that provide clear, actionable insights for business stakeholders
- Standardize metric definitions and ensure consistency across all reporting layers (dashboards, datamart, and ad-hoc analysis)
- Drive adoption of dashboards by aligning with business use cases and continuously improving usability and relevance
- Proactively monitor dashboard performance and usage; optimize, consolidate, or decommission low-value reports to maintain an efficient reporting ecosystem
- Introduce best practices in data visualization, storytelling, and KPI tracking to enhance decision-making
Advanced Data Analysis & Business Impact
- Perform deep-dive analysis on large, complex datasets to uncover trends, behavioral patterns, and business opportunities across the customer lifecycle
- Translate business problems into analytical frameworks and deliver data-driven recommendations to improve acquisition, engagement, and profitability
- Act as a key analytics partner for Business Units (BUs), leading high-impact ad-hoc analyses and strategic investigations
- Apply advanced analytical techniques (e.g., cohort analysis, funnel analysis, segmentation) to support business strategy
Data Governance & Documentation
- Own and maintain a centralized KPI dictionary and data definitions to ensure alignment across teams
- Ensure all metrics, business logic, and data transformations are well-documented, version-controlled, and accessible to both technical and non-technical stakeholders
- Promote data transparency and standardization across reporting and analytics workflows
Data Quality & Pipeline Optimization
- Collaborate closely with Data Engineering and related teams to ensure data pipelines are reliable, scalable, and optimized for analytics use cases
- Define and monitor data quality frameworks, including validation rules, anomaly detection, and reconciliation processes
- Proactively identify data gaps, inconsistencies, and inefficiencies, and drive resolution to maintain high data integrity
REQUIREMENTS
Education
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Finance, or related fields.
Experience
- Minimum 5+ years of experience in Data Analytics or Business Intelligence, with demonstrated ownership of end-to-end analytics solutions
- Strong experience in financial services, retail banking, lending, or fintech is highly preferred
- Proven track record of translating data into business impact and influencing stakeholder decisions
- Fluent in English; Vietnamese proficiency is preferred
Skills
Technical Skills
- Advanced proficiency in SQL and experience working with large-scale databases (e.g., Oracle, AWS Athena, data lakes)
- Strong experience in data visualization tools (e.g., Power BI, Tableau) with a focus on scalable dashboard design
- Solid understanding of data warehousing concepts, data modeling, and ETL processes
- Experience with Python (e.g., Pandas, data analysis) and tools like Grafana is a plus
- Familiarity with analytics use cases such as segmentation, cohort analysis, funnel tracking, and KPI framework design
Soft Skills
- Strong stakeholder management with the ability to translate complex data into clear business insights
- High business acumen, particularly in financial products, customer lifecycle, and performance metrics
- Analytical mindset with strong problem-solving capabilities and attention to detail
- Proactive ownership, with the ability to independently identify opportunities and drive improvements
