Data Analyst (Mid to Senior Level)
Data Analyst (Mid to Senior Level)
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1 Vacancy
Job Description
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 were 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 to Senior Level Data Analyst who thrives on solving complex business challenges using 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
- Lead and 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
Required Qualifications
- Strong proficiency in SQL and data wrangling using Python or R. Preference given to Python.
- 36 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 (e.g. BigQuery 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
Required Experience:
Senior IC
Employment Type
Full-Time
