Head of Data Analytics & Strategy

Angkas

Makati

On-site

PHP 3,000,000 - 5,400,000

Full time

14 days+

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Benefits offered by this job

Freedom of work
Work-life balance
Free meals and gym access
Promotion opportunities
Competitive salary
Pay raise
Startup environment
Multi-cultural and Agile environment
Diverse use of technology

Job summary

Angkas, the Philippines’ leading motorcycle ride-hailing platform, is seeking a Head of Analytics to own the data function end-to-end. You’ll lead a team, do hands-on data work, and partner with leadership to shape business thinking rather than just report on it.

You’ll manage analytics roadmap, drive driver incentive programs, pricing, retention, unit economics, and governance, collaborate across product, operations, and finance, and ensure trustworthy data through robust pipelines.

Qualifications

  • 10+ years in analytics or data science with leadership experience.
  • Strong SQL and Python capabilities with hands-on work.
  • Solid background in experimentation and causal inference.
  • Experience with BI tools for analytics and dashboards.
  • Excellent presentation and storytelling of complex findings.

Responsibilities

  • Own the analytics roadmap and prioritize impactful work.
  • Lead and develop the analytics team and collaborate with leadership.
  • Oversee data governance, pipelines, and data lineage.
  • Work with executives across product, operations, and finance.

Skills

SQL
Python
Statistics & experiments
Presentation skills
Leadership & team mgmt

Education

Master's degree in data-related field

Tools

Looker
Superset
Tableau

Job description

Angkas, the Philippines’ leading motorcycle ride-hailing platform, is seeking a Head of Analytics to own the data function end-to-end. You’ll lead a team, do hands-on data work, and partner with leadership to shape business thinking rather than just report on it.

You’ll manage analytics roadmap, drive driver incentive programs, pricing, retention, unit economics, and governance, collaborate across product, operations, and finance, and ensure trustworthy data through robust pipelines.

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