Data Analyst

6 days ago

Makati City, National Capital Region, Philippines Angkas Full time ₱900,000 - ₱1,200,000 per year
About Us

We are a fast-growing ride-hailing company transforming urban transportation. Our mission is to make mobility safer, smarter, and more accessible through data-driven decisions. As we continue to scale, we're looking for a passionate and experienced Data Scientist to join our team and play a pivotal role in driving insights, innovation, and impact across the organization.

Role Overview

We are seeking a Mid Level Data Analyst who thrives on solving complex business challenges using data. In this role, you will collaborate cross-functionally with product, engineering, operations, and marketing teams to deliver actionable insights to enhance key business areas such as pricing, supply-demand matching, customer retention, and many more.

Key Responsibilities
  • Participate in data cleansing projects to correct, standardize and validate large datasets
  • Design and build semantic data models to enable self-service data analytics and interactive dashboards
  • Conduct deep-dive analyses to uncover user behavior patterns, identify growth opportunities, and support strategic decisions.
  • Design and analyze A/B tests and other experiments to measure the effectiveness of product and operational changes.
  • Communicate insights and findings clearly to stakeholders at all levels, from executives to frontline teams.
  • Contribute to building dashboards for visibility and optimization of core ride-hailing functions (e.g., ETAs, pricing algorithms, dynamic matching).
  • Document data analysis pipelines and contribute to data governance policies
Required Qualifications
  • Strong proficiency in SQL and data wrangling using Python or R. Preference given to Python.
  • 2–4+ years of experience in business intelligence or data science.
  • Proven experience in data modeling for interactive dashboards using large and complex datasets
  • Experience working with large-scale data using BI tools(e.g. BigQuery, Grafana, Superset or similar).
  • Solid understanding of experimentation and causal inference (A/B testing, regression discontinuity, etc.).
  • Ability to work independently and manage multiple projects in a fast-paced environment.
  • Excellent communication skills with the ability to present findings clearly and influence decision-making.
Nice to Have
  • Experience in the mobility or logistics space.
  • Familiarity with geospatial data and route optimization.
  • Experience with dashboarding tools (e.g. Looker, or similar).
  • Experience with Google Cloud Platform
  • Data engineering experience

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