data analyst in fintech

Tabby is a fintech company that provides financial products and services in the region. The CX Analytics team uses data-driven insights and operational analytics to improve customer support workflows and decision-making.

• Analyze large-scale datasets related to agent performance, support interactions, and QA;
• Write optimized SQL queries using BigQuery and ClickHouse;
• Build dashboards in Tableau and 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 and practical prompt engineering for analytical tasks, summarization, and insights generation;
• Assess and profile LLM outputs for quality, relevance, and analytical correctness in business contexts;
• Work with LLM APIs and integrate model outputs into analytical or internal tooling workflows;
• Use Airflow and Python to automate data tasks and support workflows;
• Optimize analytics pipelines and data marts for performance, resource efficiency, and reliability;
• Identify and refactor inefficient DAGs, queries, and transformations for 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 through presentations, visualizations, and concise documentation.

• 4+ Years of experience as a data analyst in a fast-paced, data-heavy environment;
• Advanced SQL skills, preferably with BigQuery and/or ClickHouse;
• Proficiency in Python for data analysis, automation, and integration tasks;
• Experience with data visualization tools such as Tableau, Metabase, or 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 for technical and non-technical stakeholders;
• Upper-Intermediate or higher English proficiency, spoken and written;
• Nice to have: experience with forecasting and/or machine learning.

• Relocation support is available, including guidance through the process;
• Employee stock options programme is available;
• Work devices are provided;
• International team of professionals located across the globe;
• Inclusive company culture with work-life balance, trust, and freedom to apply personal ideas.