LI
LiteraData Analyst
Data Analyst within Revenue Operations designing scalable reporting and data solutions. Leveraging Power BI and SQL to support actionable insights for sales, marketing, and customer success teams.
About the role
- 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).
- Experience with Google Cloud Platform
- Data engineering experience
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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