Data Analyst Expert

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- 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. - 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. - 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. - 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. - 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. • Ngày làm việc: • Giờ làm việc: • Cấp bậc: • Loại công việc: