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Data Analyst

Data Analyst

nezda global
2-4 Years
Not Disclosed
  • Posted 18 hours ago
  • Be among the first 10 applicants

Job Description

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:

Python, SQL, AWS, PowerBI or Tableau

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