Data Analyst
Nezda GlobalPosition: 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)