Senior Data Analyst

Nezda Global; Muntinlupa; On-site; PHP 600,000 - 900,000; Full time

Job summary

Nezda Global in the Philippines is seeking a Senior Data Analyst to join our analytics team. You will work with large-scale datasets, build automated solutions, and deliver insights that influence business decisions.

The role requires hands-on Python, SQL, AWS, and Power BI or Tableau, plus experience with data warehouses and governance. You will create executive dashboards and partner with stakeholders to solve problems.

Qualifications

• Bachelor's degree in a quantitative field.
• Minimum 2 years of experience in Data Analytics.
• Strong hands-on experience with Python, SQL, AWS, and Power BI or Tableau.
• Experience working with data warehouses and large datasets.
• Strong analytical, problem-solving, and stakeholder management skills.

Responsibilities

• Analyze large and complex datasets to identify trends, risks, and opportunities.
• Deliver actionable insights that support business strategy and decision-making.
• Partner with stakeholders to solve business problems through data.
• Build and maintain interactive dashboards using Power BI or Tableau.
• Automate recurring reporting processes using Python and SQL.
• Develop self-service reporting capabilities for business users.
• Improve operational efficiency through automation and data-driven processes.
• Explore and implement new technologies and analytics capabilities.
• Monitor data quality and governance standards.

Skills

Python

SQL

AWS

Power BI

Tableau

Education

Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Analytics, Engineering, or another quantitative field

Tools

Data Warehouses

Informatica DQ

Job description

Are you a highly analytical professional with strong Python, SQL, AWS, and Power BI/Tableau experience? Do you enjoy transforming complex data into actionable business insights that drive strategic decisions?

We're seeking a Senior Data Analyst to join a high-performing analytics team where you'll work with large-scale datasets, build automated solutions, create executive dashboards, and deliver insights that directly influence business outcomes.

This is an excellent opportunity for a data professional who thrives in a collaborative, technology-driven environment and wants to make a measurable impact.

To be successful in this role, candidates must have hands-on experience with:

• Python for data analysis, automation, and scripting
• Advanced SQL for querying, transforming, and analyzing data
• AWS Cloud Services for data storage, analytics, or development
• Power BI or Tableau for dashboard development and data visualization

Candidates without experience in the above technologies may not be considered.

What You'll Do

Analytics & Insights

• Analyze large and complex datasets to identify trends, risks, and opportunities.
• Deliver actionable insights that support business strategy and decision-making.
• Partner with stakeholders to solve business problems through data.
• Build and maintain interactive dashboards using Power BI or Tableau.
• Automate recurring reporting processes using Python and SQL.
• Develop self-service reporting capabilities for business users.

Data Solutions & Innovation

• Improve operational efficiency through automation and data-driven processes.
• Explore and implement new technologies and analytics capabilities.

Data Governance & Quality

• Support data quality initiatives and governance standards.
• Monitor and improve data accuracy, consistency, and reliability.
• Collaborate with technology teams on data access and security controls.

Qualifications

Required

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Analytics, Engineering, or another quantitative field.
• Minimum 2 years of experience in Data Analytics.
• Strong hands-on experience with:
• Python
• SQL
• AWS
• Power BI or Tableau
• Experience working with data warehouses and large datasets.
• Strong analytical, problem-solving, and stakeholder management skills.

Preferred

• Master's degree in a STEM-related field.
• Experience with Agile, Lean, or Six Sigma methodologies.
• Experience in data governance and data quality management.
• Knowledge of tools such as Informatica DQ.