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Vacancy
1 Vacancy
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
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Analyze large-scale datasets related to agent performance, support interactions and QA.
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Write optimized SQL queries using tools like BigQuery and ClickHouse.
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Build dashboards in Tableau, Metabase.
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Detect behavioral and performance trends among agents and support teams.
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Partner with QA to identify root causes in agent behavior and customer issues.
LLM & Prompting
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Use LLM tools with practical prompt engineering for daily analytical tasks, summarization, and insights generation.
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Ability to assess and profile LLM outputs for quality, relevance, and analytical correctness in business contexts.
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Familiarity with LLM APIs and integrating model outputs into analytical or internal tooling workflows.
Automation & Workflow Optimization
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Work with Airflow and Python to automate data tasks and support workflows.
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Optimize analytics pipelines and data marts to improve performance, resource efficiency, and reliability.
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Identify and refactor inefficient DAGs, queries, and transformations to ensure scalable and cost-effective data processing.
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Suggest and co-build improvements in agent tooling, ticket routing, and SLA tracking.
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Translate business inefficiencies into trackable metrics and measurable outcomes.
Cross-Functional Collaboration
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Act as an analytical partner to Operations, Support Management, QA, and Training.
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Work with Data Engineering to ensure clean, accurate, and well-modeled data pipelines.
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Communicate findings clearly through presentations, visualizations, and concise documentation.
Desired Candidate Profile
Company Industry
- Banking
- Financial Services
- Broking
Department / Functional Area
- IT Software
Keywords
- Senior Data Analyst
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