Nezda Global
Data Analyst
Skills
1 month ago
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Important information
Contract type:
Permanent
Work mode:
Remote
Published on:
14 September 2026
What they need
Position: Data Analyst
Job Type: Permanent
Work Setup: Full onsite for 3-6 months training; Pre-dominant WFH after training
Location: Alabang, Muntinlupa
Shift Time: Night Shift for 3-6 months traning; Will shift to Mid Shift after
Summary:
As a Data Analyst, you will develop dynamic reporting, advanced analytics, and automation to provide real-time risk management and drive efficiency. Leveraging cutting-edge technologies and innovative data practices, this role will play a key role in strengthening risk management strategies.
Responsibilities:
Innovation
Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms.
Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers.
Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
Business Intelligence:
Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization.
Drive analysis that provides meaningful insights on business strategies
Data Management:
Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions.
Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance.
Build and execute tools to monitor and report on data quality
Professional Experience:
At least 2 years of experience performing data analytics.
At least 1 year of experience working with at least one scripting language.
At least 1 year of experience utilizing a business intelligence visualization tool.
At least 1 year of experience in querying and analyzing and working with data languages and platforms.
Skills Required:
Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data).
Experience utilizing and developing within AWS services.
At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
At least 1 year of experience utilizing and developing within AWS services.
At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ)
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