Senior Data Analyst, Customer Experience
Tabby | تابيPortugal13 days ago
Full-timeRemote FriendlyInformation Technology
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Department: CX Analytics
Employment Type: Full Time
Location: Remote
Reporting To: Anton Filimonov
Description
Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 million users choose Tabby to stay in control of their spending and make the most out of their money.
The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 40,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
Tabby generates over $10 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.
Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $3.3 billion.
About The Role
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.
What you will be doing
Data Analysis & Insights
Relocation and Employment
We offer remote work from anywhere in the world (our schedule is based on Dubai time though) and are happy to work out an individual relocation plan for you.
Our employees have the opportunity to choose a country for registration: at the moment those are Armenia, Georgia, Serbia, Portugal, Spain, UAE.
What You Can Expect
If this sounds exciting to you, we’d love to hear from you!
Employment Type: Full Time
Location: Remote
Reporting To: Anton Filimonov
Description
Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 million users choose Tabby to stay in control of their spending and make the most out of their money.
The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 40,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
Tabby generates over $10 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.
Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $3.3 billion.
About The Role
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.
What you will be doing
Data Analysis & Insights
- 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, Metabase.
- Detect behavioral and performance trends among agents and support teams.
- Partner with QA to identify root causes in agent behavior and customer issues.
- Design and test LLM agents embedded in support flows.
- Implement evaluation pipelines (manual + automatic) for LLM response quality using semantic similarity and completion metrics.
- Collaborate with AI/ML teams to monitor and improve the performance of LLM agents over time.
- Collaborate with Dev teams, request features to enhance LLM agents.
- Collaborate with Tools & Processes team to enhance the knowledge base for LLM agents.
- 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 outcomes.
- Act as an analytical partner to Operations, Support Management, QA, and Training.
- Work with Data Engineering to ensure clean, accurate, and well-modeled data pipelines.
- Communicate findings clearly through presentations, visualizations, and concise documentation.
- 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).
Relocation and Employment
We offer remote work from anywhere in the world (our schedule is based on Dubai time though) and are happy to work out an individual relocation plan for you.
Our employees have the opportunity to choose a country for registration: at the moment those are Armenia, Georgia, Serbia, Portugal, Spain, UAE.
What You Can Expect
- We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
- A working environment that gives you autonomy and responsibility from day one.
- You should be comfortable with the idea that the quality of your work will influence the shape of your career.
- Participation in the company’s employee stock options program.
If this sounds exciting to you, we’d love to hear from you!
Key Skills
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