Senior Data Analyst

We are Turkey's first retail media company founded by Migros and have more than 15 marketing and communication channels. In-store digital screens, store entrance sensors&checkout areas, online retail areas, personalized advertising areas, and new digital platforms such as Migros TV can be counted among these channels. Our ultimate goal is to enable our customers to see ads that interest them and to engage with the brands they want.

We are pioneering the future of retail media in Turkey. Bridging the gap between brands, retailers, and consumers, we harness the power of technology, data, and digital innovation to create meaningful, measurable media experiences.

We are now seeking a Sr. Data Analyst to join our dynamic team and help shape the legal infrastructure of this fast-growing, future-facing business.

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,