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Tabby is seeking a Senior Data Analyst focused on Customer Experience (CX) to drive data-informed improvements across support operations. You will partner with CX, product, and operations teams to measure performance, identify optimization opportunities, and enable better decision-making in support workflows.
Key responsibilities include analyzing large-scale datasets on agent performance, support interactions, and quality assurance using BigQuery and ClickHouse. You'll build dashboards in Tableau or Metabase to surface behavioral and performance trends, and collaborate with QA teams to identify root causes in agent behavior and customer issues.
A significant part of this role involves working with LLM tools and prompt engineering for daily analytical tasks, summarization, and insights generation. You'll assess LLM output quality and relevance, integrate model outputs into analytical workflows, and leverage LLM APIs for business applications.
You'll also optimize analytics pipelines and data workflows using Airflow and Python, refactoring inefficient DAGs and queries to improve performance and cost-effectiveness. You'll translate business inefficiencies into trackable metrics and work with Data Engineering to ensure clean, accurate data pipelines.
Required qualifications: 3+ years as a data analyst in fast-paced, data-heavy environments; advanced SQL (BigQuery/ClickHouse); Python proficiency for analysis and automation; experience with data visualization tools; understanding of Airflow and modern data pipelines; familiarity with LLM agents and prompt engineering; ability to translate business questions into testable hypotheses; strong presentation and storytelling skills for technical and non-technical audiences; upper-intermediate or higher English proficiency.
