Data Analytics Manager - Manila

apartmentAsialink Group Of Companies placeManila scheduleFull-time calendar_month 

Job Overview:

The Data Analytics Manager leads the Data Analytics team, ensuring the accuracy, integrity, and security of data used for decision-making and regulatory compliance. This role requires strong technical expertise, leadership skills, and the ability to translate complex data into actionable insights.

The position is responsible for overseeing all aspects of data management, analysis, and reporting within the department.

Key Result Areas:

  • Compliance in Financial Statements
  • Data Management and Quality
  • Data Visualization and Analysis
  • Data Provision Requests
  • Report Reconciliation & Loans Efficiency Summary

Key Responsibilities:

  • Ensure that ECL calculations are accurate and comply with all relevant financial regulations and standards. Provide timely and accurate reporting.
  • Oversee all aspects of data management, ensuring data integrity, security, and accuracy. Implement and monitor data quality management processes to maintain high data quality standards (99.9% accuracy and 100% consistency across sources).
  • Lead the team in translating data into actionable insights. Ensure at least 90% of strategic decisions are supported by market analysis provided by the team. Create and maintain a comprehensive reportorial dashboard for key metrics.
  • Ensure the team responds efficiently and effectively to data requests from various departments, achieving a 95% satisfaction rate.
  • Review and provide feedback on all reports generated by the team, ensuring 100% compliance before reporting.

Key Requirements:

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of experience in a data analytics leadership role.
  • Proven experience in managing and mentoring a data analytics team.
  • Strong understanding of financial regulations and reporting standards.
  • Expertise in data management, data quality, and data security.
  • Proficiency in data visualization and analysis tools.
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