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Enterprise Analytics Specialist

Cebu Pacific Air

Pasay, National Capital Region, PhilippinesOn Site

Original Job Summary

About the Role

The Enterprise Analytics Specialist at Cebu Pacific Air works within the Corporate Strategy Department. You will build statistical models, apply advanced techniques, and use data visualization to derive insights and answer business questions. Your role involves simplifying stakeholder requirements and proposing enhancements to drive operational excellence.

Primary Responsibilities

  • Build tools through statistical modeling and advanced analytics.
  • Translate stakeholder requirements into actionable insights.
  • Generate customer insights from data.
  • Create and automate reports.
  • Develop data model management frameworks.

Qualifications

  • Bachelor's degree in mathematics, statistics, computer science, engineering, or economics.
  • Proficiency in statistical programming such as SAS and R.
  • Solid understanding of data structures and statistical aptitude.
  • Ability to interpret ambiguous data or requirements.

Why Join Cebu Pacific Air?

  • Work for the first Great Place to Work® certified airline in Southeast Asia.
  • Award-winning employer brand on LinkedIn for two consecutive years.
  • Access extensive learning programs and leadership development initiatives through Ceb U.
  • Enjoy employee perks including free travel and comprehensive healthcare coverage.

Work Arrangement

This role is based in Pasay City, Metro Manila, and follows a hybrid workplace flexibility arrangement.

Key skills/competency

  • statistical modeling
  • data analysis
  • R programming
  • SAS
  • data visualization
  • model management
  • stakeholder communication
  • corporate strategy
  • sustainability
  • aviation analytics

How to Get Hired at Cebu Pacific Air

🎯 Tips for Getting Hired

  • Customize your resume: Focus on statistical and programming skills.
  • Highlight project stories: Showcase analytics project outcomes.
  • Research Cebu Pacific Air: Understand their strategy and culture.
  • Prepare for technical questions: Brush up on SAS and R.

📝 Interview Preparation Advice

Technical Preparation

Review SAS and R usage examples.
Practice building statistical models in R.
Learn automation of report generation.
Study data visualization techniques.

Behavioral Questions

Describe handling ambiguous data effectively.
Explain a time you solved stakeholder conflicts.
Discuss teamwork in cross-functional projects.
Illustrate adapting to dynamic work conditions.