CX Data Analyst: AI-Driven Insights & Automation

Tabby; Riyadh; On-site; SAR 224,000 - 300,000; Full time

Job summary

A fintech company in Riyadh is seeking a Customer Experience (CX) Data Analyst to transform customer support through data and AI. The role involves analyzing data, optimizing support operations, and developing LLM agents. Ideal candidates will have 3+ years of experience as a data analyst, advanced SQL skills, and proficiency in Python. The position offers a dynamic environment to leverage insights and improve customer experiences.

Qualifications

• 3+ years of experience as a data analyst in a fast-paced, data-heavy environment.
• Advanced SQL skills (preferably in BigQuery and/or ClickHouse).
• Proficiency in Python for data analysis, automation, and integration tasks.
• Experience with data visualization tools (e.g., Tableau, Metabase, Looker).
• Understanding of Airflow, DAG orchestration, and modern data pipelines.
• Experience with LLM agents, prompt engineering, and OpenAI API usage.
• Ability to translate business questions into structured, testable hypotheses.
• Strong presentation and storytelling skills; able to communicate with stakeholders.

Responsibilities

• 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 and Metabase.
• Design and test LLM agents embedded in support flows.
• Work with Airflow and Python to automate data tasks and support workflows.
• Communicate findings clearly through presentations and documentation.

Skills

Data analysis

SQL proficiency

Python programming

Data visualization

Understanding of Airflow

Experience with LLM agents

Presentation skills

Upper-Intermediate English proficiency

Tools

BigQuery

ClickHouse

Tableau

Metabase

Airflow

Job description

A fintech company in Riyadh is seeking a Customer Experience (CX) Data Analyst to transform customer support through data and AI. The role involves analyzing data, optimizing support operations, and developing LLM agents. Ideal candidates will have 3+ years of experience as a data analyst, advanced SQL skills, and proficiency in Python. The position offers a dynamic environment to leverage insights and improve customer experiences.