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Nezda Global

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Senior Data Analyst

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Summary

A senior data analyst on a hybrid team in Alabang, Muntinlupa City who turns large datasets into business insights: analyzing data with Python and advanced SQL, automating recurring reports, building executive dashboards in Power BI or Tableau, and designing scalable AWS-based data solutions while supporting data governance.

Senior Data Analyst

Alabang, Muntinlupa City (Hybrid Work Setup) Full-Time | Mid Shift


Data. Insights. Impact.


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.


🚨 Required Technical Skills (Must-Have)

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.

Dashboarding & Reporting

  • 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

  • Design scalable data solutions leveraging AWS cloud technologies.
  • 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.


Skills

What Senior Data Analytics jobs ask for — and how much of it you have →

See also

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