Senior Data Analyst, Customer Care Analytics

Your toolkit

• 5+ years of relevant experience interpreting data in an analytics or a data science role

• Production-grade SQL and strong working knowledge of Python (e.g., notebooks, modeling, analysis workflows). - Experience with experimentation (statistics, assumptions, and evaluation). - Strong statistical background and proficiency with advanced statistical methods (e.g. causal inference methods, difference-in-differences, regression analysis, propensity score matching)

• Strong stakeholder management and the ability to operate with senior leaders in a high-context, ambiguous environment. - Proven ability to turn messy questions into structured analysis, crisp narratives, and decisions with measurable business impact. - Strong customer mindset: you understand user behavior and the “why” behind the numbers. - Excellent communication skills — you can influence without authority and align teams around shared metrics and priorities. - Experience with data visualization and reporting tools (e.g., Looker, Jupyter Notebooks). ### Extras that give you an edge

• Experience working in Customer Care within a marketplace. - Familiarity with ETL/orchestration tools (e.g., Airflow) and/or big data tooling (e.g., Spark, Hive). - Experience working in agile product teams and cross-functional mission setups. - Exposure to LLM APIs (OpenAI, Gemini, Anthropic), especially for operational tooling or workflow augmentation. - Experience mentoring or managing analysts. ###