Senior Data Analyst

n11; Fatih; On-site; TRY 926,784 - 1,621,872; Full time

Job summary

n11 is seeking an experienced data analyst to define and oversee the analytics roadmap, focusing on user behavior analysis and performance measurement.

Successful candidates will have 5+ years in data analytics and a strong background in e-commerce and BI tools. You will work closely with cross-functional teams to influence product decisions driven by data and insights.

Qualifications

• 5+ years of experience in data analytics, business intelligence, or related roles.
• Proficient in SQL, Python/R, Excel, and BI tools.
• Strong track record in e-commerce, retail, or digital consumer businesses.

Responsibilities

• Define the roadmap for analytics initiatives.
• Collaborate with cross-functional teams to turn insights into recommendations.
• Develop dashboards and key performance metrics.

Skills

Data analysis

SQL

Python/R

Excel

Business Intelligence tools

Data storytelling

Tools

Looker

Tableau

Power BI

QlikSense

Job description

What You’ll Do

• Define the roadmap for analytics initiatives, including user behavior analysis, segmentation, cohort analysis, churn prediction, and performance measurement.
• Collaborate with Product Managers, Marketing, Operations, and UX teams to translate insights into actionable recommendations.
• Develop dashboards, reporting frameworks, and key performance metrics to monitor product and business health.
• Oversee A/B testing design, implementation, and impact measurement, applying causal inference methods where appropriate.
• Partner with data engineering to maintain reliable, scalable, and high-quality data pipelines.
• Stay informed on industry developments in analytics, experimentation, and user behavior modeling.
• Being able to use the Google Analytics implementation-analysis tool, Big Query & Looker connection effectively is important for this position.

Who You Are

• 5+ years of experience in data analytics, business intelligence, or related roles.
• Proficient in SQL, Python/R, Excel, and BI tools (Looker, Tableau, Power BI, QlikSense).
• Strong track record in e-commerce, retail, or digital consumer businesses.
• Skilled in advanced analytics techniques, including segmentation, predictive analytics, and experimentation.
• Strategic thinker who can translate business problems into actionable analytics solutions.
• Excellent communicator, able to present complex findings in actionable ways.
• Passionate about mentoring a high-performing team and fostering a data-driven culture.
• Experience in personalization, recommendation systems, or marketing attribution analytics.
• Professional competence in English language.