Data Analyst (Product Analytics)

About the Team
At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.
We solve complex problems with data, creativity, and agility — always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what’s next.
About the Role
A data analyst defines success metrics and provides analytical solutions for complex product-related questions such as behavioral segmentation, feature usage, UX performance, and funnel analysis. They build and maintain dashboards, develop data models to track product performance, and conduct A/B test analyses to drive KPI improvements. Their role also includes translating data into actionable insights, supporting product teams with ad-hoc analyses, and aligning reporting efforts with company strategy.

Responsibilities

• Partner with crossfunctional teams to define success metrics and deliver analytical solutions for complex product tasks (page performance, funnel health, check, behavioral segmentation, feature interaction, UX measurement, etc.)
• Create data models for A/B tests and analyze A/B tests to drive KPI improvements.
• Refine data translation processes and provide regular analysis on product OKRs
• Design and build internal analytics dashboards to track, quantify, and evaluate platform data.
• Comprehend the bigger picture as well as small details with a sense of analytical thinking.
• Enable effective decision-making by retrieving and aggregating data from multiple sources and compiling it into a simplified and actionable format.
• You will help to spread the product mindset to all stakeholders and colleagues.

Expected Qualifications

• University degree preferably in Engineering, MIS, Management, Statistics.
• Minimum 2 years experience in data analytics, business intelligence or a similar role.
• Showing a data-centric mindset by establishing product metrics and making data-driven decisions.
• Fluent in data analysis, including defining KPI strategy and growth opportunities, time series analysis, data visualization.
• Strong knowledge of SQL or other query language experience combined with good mathematical and statistics foundations.
• Experience with Python/R is a plus.
• Experience working with Looker, Tableau, BI, and Data Studio or similar data visualization tools.
• A growth mindset with a self-starter attitude.
• Strong communication skills and an ability to break down complex information into relevant and digestible points.
• Excited to work with different functions within the company, creative problem solver who thrives with ambiguity.
• Develop custom data models and algorithms to apply to data sets.
• Excellent written and verbal communication skills in English.