Data Analyst Expert

MỤC TIÊU

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.

TRÁCH NHIỆM CHÍNH

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

• Giờ làm việc: 9:00 - 18:00 • Cấp bậc: Nhân viên (executive)