Tabby
Fintech • eCommerce
Tabby is a payment solutions company that allows shoppers to split their purchases into four interest-free monthly payments, making shopping more accessible and convenient. Tabby provides an app that helps users discover and track the best products, brands, and deals. The service is available for a wide range of categories, including fashion, beauty, electronics, and more, and integrates with VISA for broad acceptance. Additionally, Tabby offers business solutions to increase sales by removing price barriers and supports shoppers through its Tabby Care service, which facilitates easy returns and payment holds in case of purchase issues.
Senior Data Analyst, Customer Experience
August 28
Tabby
Fintech • eCommerce
Tabby is a payment solutions company that allows shoppers to split their purchases into four interest-free monthly payments, making shopping more accessible and convenient. Tabby provides an app that helps users discover and track the best products, brands, and deals. The service is available for a wide range of categories, including fashion, beauty, electronics, and more, and integrates with VISA for broad acceptance. Additionally, Tabby offers business solutions to increase sales by removing price barriers and supports shoppers through its Tabby Care service, which facilitates easy returns and payment holds in case of purchase issues.
📋 Description
• 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 empower 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 human-centered support experiences.
🎯 Requirements
• 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 technical and non-technical stakeholders alike. • Upper-Intermediate or higher English proficiency (spoken and written).
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