Дата аналитик

Tabby is a financial services company operating through an international team located across the globe, offering a fintech product and an employee stock options programme.

• Analyze large-scale datasets related to agent performance, support interactions and QA;
• Write optimized SQL queries using tools like BigQuery and ClickHouse;
• Build dashboards in Tableau, Metabase;
• Detect behavioral and performance trends among agents and support teams;
• Partner with QA to identify root causes in agent behavior and customer issues;
• Use LLM tools with practical prompt engineering for daily analytical tasks, summarization, and insights generation;
• Assess and profile LLM outputs for quality, relevance, and analytical correctness in business contexts;
• Use LLM APIs and integrate model outputs into analytical or internal tooling workflows;
• Work with Airflow and Python to automate data tasks and support workflows;
• Optimize analytics pipelines and data marts to improve performance, resource efficiency, and reliability;
• Identify and refactor inefficient DAGs, queries, and transformations to ensure scalable and cost-effective data processing;
• Suggest and co-build improvements in agent tooling, ticket routing, and SLA tracking;
• Translate business inefficiencies into trackable metrics and measurable outcomes;
• Act as an analytical partner to Operations, Support Management, QA, and Training;
• Work with Data Engineering to ensure clean, accurate, and well-modeled data pipelines;
• Communicate findings clearly through presentations, visualizations, and concise documentation.

• 3+ Years of experience as a data analyst in a fast-paced, data-heavy environment;
• Advanced SQL skills (preferably in BigQuery and/or ClickHouse);
• Proficiency in Python for data analysis, automation, and integration tasks;
• Experience with data visualization tools (e.g. Tableau, Metabase, Looker);
• Understanding of Airflow, DAG orchestration, and modern data pipelines;
• Experience with LLM agents, prompt engineering, and API usage;
• Ability to translate business questions into structured, testable hypotheses;
• Strong presentation and storytelling skills; able to communicate with technical and non-technical stakeholders alike;
• Upper-Intermediate or higher English proficiency (spoken and written).

• International team located all over the globe with an inclusive company culture;
• Focus on work-life balance;
• Employee stock options programme available for everyone;
• Opportunity to learn and grow in one of the fastest growing fin tech companies in the region;
• Relocation support with guidance through all the process;
• Provision of devices required for work.