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Data Analyst


Cebu Pacific’s growth has been steadfast for over two decades and it doesn’t stop here. As the airline continues to expand its global network, we are constantly in search for the right JUAN who share our values of breaking boundaries, never fearing failure or mistakes but rather always in the pursuit of new ideas and better solutions.

 

If the thought of a challenging, fun and highly dynamic fast-paced environment excites you, this could be the place for you.

 

Apply today and be JUAN of the game changers of the Philippines’ leading airline, Cebu Pacific as an Operations Data Analyst.

 

Primary Responsibilities:

  • Enable operations by discovering relevant insights from vast amounts of data and helping management make smarter decisions.
  • Leverage current and other creative data sources, applying advanced statistical analysis and state-of-the-art machine learning, and building high-quality prediction systems to enable industry-leading performance.
  • Autonomously manage projects from identifying areas of opportunities, collecting data, structuring analyses, generating insights, communicating findings, up to supporting stakeholders with execution
  • Build advanced data visualizations and dashboard for stakeholders.

 

Qualifications:

  • Must be a college graduate of any of related field to Mathematics, Statistics, Industrial Engineering, Business, Computer Science, Economics, etc.
  • Previous work experience in Data Analytics is required for this position.
  • Familiarity with the following - SQL, Python, R, Tableau, PowerBI, Qlik, etc.
  • Willing to work in Pasay City.
  • Can start in January 2019.

 

Be JUAN of us and together, let’s make moments happen.

 

Keywords: Careers, Cebu Pacific, CEB, Aviation, Airline, Pasay, Manila, Data Analytics, Operations Data, Data Analyst, Data Scientis, Tableau, PowerBI, SQL, Python, Hadoop, Spark, Athena, AWS, Qlik, Statistics, Analyst, Data, Mathematics


Job Segment: Database, Engineer, Data Analyst, Computer Science, Statistics, Technology, Engineering, Data

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