Data Analyst collaborating with multiple teams in a ride-hailing company. Utilizing data-driven insights to enhance pricing, supply-demand, and customer retention strategies.
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
Requirements
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).
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