Senior Data Analyst

Job Description Roles & Responsibilities This role focuses on analytics, reporting, and process optimization, with exposure to automation and AI powered tools as part of everyday analytical work. Data Analysis & Insights 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. LLM & Prompting Use LLM tools with practical prompt engineering for daily analytical tasks, summarization, and insights generation. Ability to assess and profile LLM outputs for quality, relevance, and analytical correctness in business contexts. Familiarity with LLM APIs and integrating model outputs into analytical or internal tooling workflows. Automation & Workflow Optimization 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. Cross-Functional Collaboration 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. Desired Candidate Profile Company Industry BankingFinancial ServicesBroking Department / Functional Area IT Software Keywords Senior Data Analyst Get real-time job updates only on our App