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Senior Analyst- Data Analysis

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Hybrid

Senior Analyst- Data Analysis

Nezda Technologies, Inc.

Senior Analyst- Data Analysis

Skills

SQL QueriesData VisualizationData AnalysisAWSRisk Management

16 days ago

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Important information


Contract type:

Permanent

Salary:

₱1,080,000 – ₱1,440,000 / year

Work mode:

Hybrid

Published on:

7 October 2026

What they need


About the role

As a Data Analyst, this role will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. The role offers a unique opportunity to apply data-driven solutions in a fast-paced, risk-focused environment. 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.

Key responsibilities

  • 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
  • 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
  • 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

About you

  • Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field)
  • 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
  • Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
  • Experience utilizing and developing within AWS services
  • Amenable to work in a hybrid set up in Alabang, Muntinlupa; predominantly work from home
  • Amenable to work in the mid shift schedule

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