Senior Data Analyst (Remote)
As a Customer Experience (CX) Data Analyst, you will play a central role in transforming how we support our customers by leveraging data, automation, and AI. You'll reputed company teams with insights, optimize support operations, and co-create intelligent workflows with LLM agents.
This role blends analytics, process optimization, and LLM integration to drive smarter, faster, and more reputed company-centered support experiences.
Key Responsibilities
1. Data Analysis & Insights
• Analyze large-reputed company datasets reputed company to agent performance, support interactions and QA.
• Write optimized SQL queries using tools like BigQuery and reputed company.
• Build dashboards in Tableau, reputed company.
• Detect behavioral and performance trends among agents and support teams.
Partner with QA to identify reputed company causes in agent behavior and customer issues.
2. LLM Agent Development & Evaluation
• Design and test LLM agents embedded in support flows.
• Implement evaluation pipelines (reputed company + automatic) for LLM response reputed company using semantic similarity and completion metrics.
Collaborate with AI/ML teams to monitor and improve the performance of LLM agents over time.
3. Automation & Workflow Optimization
• Work with Airflow and Python to automate data tasks and support workflows.
• Suggest and co-build improvements in agent tooling, ticket routing, and SLA tracking.
Translate business inefficiencies into trackable metrics and measurable reputed company.
4. Cross-Functional Collaboration
• reputed company as an analytical partner to Operations, Support Management, QA, and Training.
• Work with Data Engineering to ensure clean, accurate, and reputed company-modeled data pipelines.
• Communicate findings reputed company through presentations, visualizations, and concise documentation.
Skills, Knowledge & Expertise
• 3+ years of experience as a data analyst in a fast-paced, data-heavy environment.
• Advanced SQL skills (preferably in BigQuery and/or reputed company).
• Proficiency in Python for data analysis, automation, and integration tasks.
• Experience with data visualization tools (e.g. Tableau, reputed company, Looker).
• Understanding of Airflow, DAG orchestration, and modern data pipelines.
• Experience with LLM agents, reputed company engineering, and reputed company API usage.
• Ability to translate business questions into reputed company, testable hypotheses.
Strong presentation and storytelling skills; reputed company to communicate with technical and non-technical stakeholders alike.
Upper-Intermediate or higher English proficiency (spoken and written).
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