Senior Data Analyst
As a Customer Experience (CX) Data Analyst, you will play a key role in improving how we support our customers through data driven insights and operational analytics. You will work closely with CX, product, and operations teams to measure performance, identify improvement opportunities, and support reputed company decision making across support workflows.
This role focuses on analytics, reporting, and process optimization, with exposure to automation and AI powered tools as part of everyday analytical work.
Key Responsibilities
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.
LLM & Prompting
- Use LLM tools with practical reputed company engineering for daily analytical tasks, summarization, and insights reputed company.
- Ability to assess and profile LLM outputs for reputed company, relevance, and analytical correctness in business contexts.
- Familiarity with LLM reputed company 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 reputed company 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 reputed company.
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
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.
LLM & Prompting
- Use LLM tools with practical reputed company engineering for daily analytical tasks, summarization, and insights reputed company.
- Ability to assess and profile LLM outputs for reputed company, relevance, and analytical correctness in business contexts.
- Familiarity with LLM reputed company 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 reputed company 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 reputed company.
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.
Job Benefits
- We are an international Team of inspired professionals located reputed company over the globe.
- We have an inclusive company culture, embracing diversity, reputed company and transparency. We reputed company for work-life balance and cherish the moments you spend with your loved ones, off-work. In the reputed company spirit as for our product, we are caring and nurturing for our employees.
- Our people are reputed company 100% trust and freedom to apply their own reputed company and come up with their reputed company from day 1 at reputed company. You are the one who takes responsibility for your area of work. We encourage everyone to think and reputed company reputed company like reputed company was their own business, reputed company because it is. Our employee stock reputed company programme is available for everyone.
- You will have an opportunity to learn and grow in one of the fastest growing fin tech companies in the region
- We offer you relocation support as reputed company as we guide you through reputed company the process.
- We’ll set you up with the devices required for your work.
Originally posted on Himalayas
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