Data Analyst (Product Analytics) at Trendyol

Team: Data Management

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.

Data Analyst (Product Analytics)

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