Angkas
Ride-hailing
HeadofDataAnalyticsandInsights
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“Head of Data Analytics and Insights at Angkas. Skills: Data analytics, Data science, Team leadership. Own the analytics roadmap. Manage team's priorities”
Industry & Context.
Debugging logic
What They're Looking For.
Must Have
10+ years in analytics or data science, 5+ years leading a team, SQL skills, Python skills, Solid stats foundation, Experimentation, Causal inference, Hypothesis testing, Experience with BI tools, Presentation skills
Nice to Have
Master's degree in data-related field, Experience in ride-hailing, Experience in logistics, Experience in two-sided marketplace, Track record rolling out org-wide AI tools, Handling change management for AI tools, Background in data lineage, Background in metadata management
What You'll Do.
Own the analytics roadmap
Manage team's priorities
Build team's skillset
Present to executives
Align with operations
Work with engineering on pipeline reliability
Push for better documentation
Establish data lineage
How You'll Work.
Team & Collaboration
Work with leadership; Work with people across levels; Work with engineering; Align with product; Align with operations; Align with finance
Communication Scope
Explain complex findings; Clear presentation; Confident presentation; No jargon presentation
Process & Methodology
Roadmap planning
Full Job Description
Angkas is the Philippines' leading motorcycle ride-hailing platform. We move millions of Filipinos through traffic every day while building real livelihoods for our driver partners. We're hiring a Head of Analytics to own the data function end-to-end. You'll lead a team, get your hands dirty with the data, and work directly with leadership to shape how we think about our business — not just report on it. JOB DETAILS: You'll be responsible for the analytics roadmap and making sure the team is working on what actually matters. That means driver incentive programs, supply-demand dynamics, pricing, retention, unit economics, and others. You'll build the team's skillset, set up the right processes, and make sure we're tracking the metrics that actually matter. On a daily basis, expect a mix of strategic work (presenting to executives, aligning with product, operations and finance) and technical work (reviewing analyses, debugging logic, writing your own queries when needed). It's a lean setup—expect to work closely with people across levels. You'll also own data governance—working with engineering on pipeline reliability, pushing for better documentation, and establishing data lineage so people actually trust the numbers. **Requirements** WHAT WE ARE LOOKING FOR: → 10+ years in analytics or data science, with at least 5 years leading a team → Strong SQL and Python skills—you can still do the work, not just manage it → Solid stats foundation: experimentation, causal inference, hypothesis testing → Experience with BI tools (Looker preferably, Superset, Tableau) → Strong presentation skills - ability to explain complex findings, clear, confident, no jargon, no death by slides NICE TO HAVE: → Master's degree in a data-related field (Data Science, Statistics, Applied Mathematics, Computer Science, Economics, Operations Research, or similar) → Experience in ride-hailing, logistics, or any two-sided marketplace → Track record rolling out org-wide AI tools (Claude, Gemini, Copil
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