Data Management Analyst

Makati City, National Capital Region

Posted 11 days ago

Company:: Dempsey Resource Management Inc
Company Description:: Dempsey Resource Management Inc. (DEMPSEY) is an executive search and referral services company. We do assist our client companies in the sourcing of competent and qualified candidates to fill up various job positions in their organization. The job positions we are targeting for our referred candidates are those intended for direct hiring by our clients.
Contract Type:: Full Time
Experience Required:: 2 years
Education Level:: Bachelor’s Degree
Gender:: Any
Number of vacancies:: 1

Job Description

Key Responsibilities:
• Analyze and interpret large datasets to generate reports and insights.
• Develop, maintain, and optimize databases to ensure data accuracy and consistency.
• Identify and resolve data quality issues by collaborating with relevant teams.
• Implement and manage data reporting solutions using tools like SQL, Excel, and BI platforms.
• Create and maintain dashboards and visualizations for data-driven decision making.
• Ensure all data management processes comply with relevant regulatory standards.
• Work with cross-functional teams to gather data requirements and align them with business
objectives.
• Document data workflows, processes, and methodologies for reference and compliance purposes.
• Conduct routine data audits and suggest improvements for better data integrity and efficiency.

Qualifications:
• Bachelor’s degree in, Information Systems, Computer Science, or a related field
• Atleast 2 year’s experience in MySQL Database
• Proven experience in data management or data analysis roles.
• Skills in SQL, Excel, and data visualization tools (Power BI, Smartsheet).
• Experience working with large datasets and relational databases.
• Exceptional analytical skills with attention to detail.
• Effective communication skills to present findings and collaborate with teams.
• Knowledge of programming languages is a plus. Preferred Skills:
• Experience with cloud-based data platforms (AWS, Azure).
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