Data Analyst

Tabby

Data Science, IT

Posted on Aug 28, 2025

As a Middle Data Analyst in the Voice of the Customer (VoC) domain within the Customer Experience (CX) department, you will analyze customer feedback and behavior to drive actionable insights that enhance satisfaction and loyalty. Leveraging diverse data sources, including surveys, reviews, and social media, you will uncover trends, pinpoint pain points, and deliver strategic recommendations that improve customer experience and align with business objectives. Your work will directly influence decision-making across CX teams, product management, and marketing.

Department: CX Analytics
Employment Type: Full Time
Location: Remote
Workplace type: Fully remote
Reporting To: Fedor Suslyaev

Key Responsibilities

Customer Feedback & Sentiment Analysis: Analyze data from VoC programs (CSAT, NPS), applying NLP and text analytics to extract insights and categorize feedback into themes.
Customer Journey Insights: Map customer interactions across touchpoints, correlating VoC data with operational metrics to identify friction points and areas for improvement.
Data Visualization & Reporting: Develop dashboards, reports, and KPIs to communicate findings clearly, ensuring insights drive informed decision-making.
A/B Testing & Performance Evaluation: Design and conduct A/B tests to assess the impact of customer experience initiatives and recommend optimizations.
Public Presentation of Insights: Present key findings and results to stakeholders, including executives, ensuring alignment with customer-centric strategies.
Predictive & Prescriptive Analytics: Use advanced modeling techniques to forecast customer behavior and provide data-driven recommendations to enhance loyalty.
Process Improvement & Innovation: Identify gaps in VoC methodologies, suggest improvements, and implement new tools or techniques to optimize data collection and analysis.

Skills, Knowledge & Expertise

Work experience as a data analyst for 3+ years.
Advanced knowledge of SQL, Python.
Experience using Tableau/Metabase or similar data visualization tools.
Experience with using GPT/Claude as a tool for work tasks solving.
A structured approach to problem solving alongside strong quantitative skills. You can analyze issues, identify root-causes and recommend solutions.
Ability to come up with hypotheses and ways to improve our processes: backed by data if possible, but also by your expertise and common sense.
Verbal and written communication skills, an ability to interact with business and product teams.
At least upper-intermediate English proficiency.

About Tabby

Tabby creates financial freedom in the way people shop, earn and save, by reshaping their relationship with money.

The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 32,000 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 has generated over $7 billion in transaction volume for its partner brands and has the highest rated, most reviewed, largest and fastest growing app of any fintech in the GCC region.

Tabby launched operations in 2020 and has raised +$1 billion in equity and debt funding from global and regional investors.

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