Senior Data Analyst - Python/SQL

Senior Data Analyst

Project:

The client is a dynamic, fast-paced global platform dedicated to reimagining the movement of people and goods in real time. Driven by a relentless mission to facilitate transport, delivery and flexible earning opportunities, the company has evolved from a ride-hailing service into a comprehensive ecosystem that handles everything from everyday mobility to multi-ton freight, meals and essential medical supplies, with a strong commitment to continuous innovation, safety and transparency.

The role leads complex, large-scale analyses and data strategy initiatives, and mentors junior analysts.

Project stage: ongoing

Planned project duration: long-term (12 months+)

Requirements:

- Education: Bachelor's degree required; Master's degree in a quantitative field preferred

- Experience: 4 - 6 years as a Data Analyst or in a similar analytics role, including at least 1 - 2 years mentoring junior analysts or leading analysis workstreams on cross-functional projects

- Technical skills: advanced SQL (Presto / Hive, query optimization); Python (Pandas, SciPy / Statsmodels for statistical analysis); advanced BI-tool usage (e.g., calculated fields and LOD expressions in Tableau, custom Looker explores, DAX in Power BI)

- Domain / statistics: solid grounding in experimentation design, causal inference concepts (e.g., panel data, propensity score matching) and predictive / ML modeling fundamentals; comfortable partnering with Data Science on model evaluation

- Leadership: demonstrated experience mentoring 1 - 3+ junior / intermediate analysts and managing relationships with senior (Director-level) stakeholders

- AI literacy: champions the use of AI tools (GPT-4, Gemini, Claude) to synthesize large volumes of data, surface trends, build semi-automated pipelines, and design AI-enhanced A/B test frameworks

- English: Upper-Intermediate or higher

Responsibilities:

- Design and lead large-scale analytics projects independently, aligning data / metric strategy across teams

- Develop and maintain self-operating, interactive dashboards and reports using visualization tools (Tableau, Power BI, Looker Studio)

- Conduct statistical analysis and modeling to support predictive analytics and machine learning initiatives

- Own strategic, cross-functional reporting and define KPI frameworks

- Establish and enforce data governance policies to maintain data consistency, privacy and security