Senior Data Analyst (Python, SQL, Data Warehouse)

Must Have4+ years of experience in data analytics, with at least 2 years focused on operational or product analytics in a tech/logistics/marketplace environmentStrong SQL skills (complex queries, window functions, CTEs, query optimization) — this is your daily toolProficiency in Python (pandas, numpy) for data manipulation and ad-hoc analysisExperience building dashboards and reports in BI tools (Metabase, Tableau, Looker, or similar)Experience working with Databricks or similar lakehouse/data warehouse platformsDemonstrated ability to go beyond "what happened" to "why it happened" and "what should we do about it"Strong communication skills — ability to present findings and recommendations to both technical and non-technical stakeholdersExperience designing and analyzing A/B testsNice to HaveExperience in logistics, ride-hailing, delivery, or marketplace domainsExposure to real-time/streaming data and real-time dashboardsFamiliarity with ML model evaluation from a business perspective (precision/recall tradeoffs, model monitoring)Prior experience mentoring junior analysts or leading a small analytics teamFamiliarity with dbt, Airflow, or similar data transformation/orchestration toolsStrong stakeholder management skills; comfortable working with and presenting to senior leadershipSelf-learner and quick to adopt new knowledge and technical skillsExperience mentoring junior analysts is a plus