Sr.Data Analyst

Founded by Migros, we are Turkey’s first retail media company, redefining the way brands connect with consumers.

Positioning ourselves as a data and technology company, we focus on delivering the right message to consumers through in-store digital screens, entrance sensors and online retail media platforms such as Migros TV and over 15 marketing and communication channels. By integrating these with retail purchase data, we provide advertisers with precise, data-driven advertising solutions that meet their needs.

Operating within a Technopark Ecosystem, we leverage innovation, collaboration and advanced analytics to continuously enhance our retail media technologies.

By combining data, technology, and shopping insights, we offer brands effective advertising solutions across both digital and in-store channels.

We're growing our Data Analytics Team and looking for a Senior Data Analyst to join us!

If you love turning data into meaningful insights and want to make an impact in a data-driven, innovative enviroment, apply now!

What We’re Looking For:

• Bachelor’s degree in Industrial Engineering, Computer Engineering, Mathematics, Statistics, MIS, or a related quantitative field,
• Minimum of 4–6 years of hands-on experience in Data Analytics, Customer Insights, Data Science, or similar roles, with a proven track record in customer segmentation, behavioral modeling, and personalized targeting,
• Strong proficiency in SQL and Python (experience with BigQuery, MySQL, Oracle SQL, PostgreSQL is a plus),
• Proven experience in developing and operationalizing segmentation models, such as RFM, behavioral clustering, predictive scoring (e.g., churn, response, conversion), and lifecycle modeling
• Hands-on skills in machine learning techniques, including supervised and unsupervised learning (e.g., regression, classification, clustering), and experience translating these techniques into actionable business strategies,
• Hands-on experience with data visualization tools (e.g., Looker, Tableau, Google Analytics, Power BI, MicroStrategy, etc.).
• Proactively suggest new data tools, infrastructure, or automation pipelines to improve scalability and performance,
• Analytical mindset, ability to handle large-scale datasets, and skill in translating insights into business impact,
• Ability to extract actionable insights from data and communicate them clearly to relevant stakeholders,

What You Will Do?

• Analyze first, strategize & give insight second and finally implement,
• Translate complex business questions into structured data problems and deliver customer-focused, strategic insights to drive growth and retention,
• Embrace a forward-thinking approach to address future data-related needs of the domain and propose new data initiatives/tools,
• Design and maintain scalable dashboards and monitoring tools that support KPI tracking across customer segments and lifecycle stages,
• Develop advanced customer analytics solutions such as RFM segmentation, behavioral segmentation, market basket analysis, and lifetime value (LTV) prediction,
• Coordinate with technology teams to automate and optimize data analysis infrastructure and processes,
• Collaborate with Marketing, CRM, Growth, and Product teams to deliver actionable and measurable data-driven recommendations,