About the job
About Us
At Angkas, we are at the forefront of revolutionizing urban transportation. As a rapidly expanding ride-hailing company, our goal is to enhance mobility by making it safer, smarter, and more accessible through insightful, data-driven strategies. We are on the lookout for an enthusiastic and skilled Data Analyst to join our dynamic team and significantly contribute to our mission by driving insights, fostering innovation, and creating a positive impact across our organization.
Role Overview
We are in search of a Mid-Level Data Analyst who excels at tackling intricate business challenges through the use of data. You will work collaboratively with diverse teams, including product, engineering, operations, and marketing, to provide actionable insights that will refine critical business areas such as pricing strategies, supply-demand balancing, customer retention efforts, and more.
Key Responsibilities
- Engage in data cleansing initiatives to rectify, standardize, and validate extensive datasets.
- Develop and construct semantic data models that facilitate self-service data analytics and interactive dashboards.
- Perform in-depth analyses to reveal user behavior patterns, identify growth opportunities, and support strategic decision-making.
- Design and evaluate A/B tests and other experimental frameworks to assess the impact of product and operational changes.
- Effectively communicate insights and findings to stakeholders at all levels, from executives to front-line teams.
- Assist in creating dashboards that enhance visibility and optimize core ride-hailing functions (e.g., ETAs, pricing algorithms, dynamic matching).
- Document data analysis workflows and contribute to data governance policies.
Requirements
Required Qualifications
- Proficient in SQL and adept in data wrangling using Python or R, with a preference for Python.
- 2–4+ years of experience in business intelligence or data science.
- Demonstrated expertise in data modeling for interactive dashboards utilizing large and complex datasets.
- Hands-on experience with large-scale data leveraging BI tools (e.g., BigQuery, Grafana, Superset, or similar).
- Strong comprehension of experimentation methodologies and causal inference techniques (A/B testing, regression discontinuity, etc.).
- Capable of working autonomously and managing multiple projects in a fast-paced environment.
- Exceptional communication skills, with the ability to clearly articulate findings and influence decision-making.
Nice to Have
- Background in the mobility or logistics sector.
- Familiarity with geospatial data and route optimization.
- Experience with dashboarding tools (e.g., Looker or similar).
- Familiarity with Google Cloud Platform.
- Experience in data engineering.
