Job Requirements

We’re looking for a data-savvy professional who brings:

• A structured, analytical approach to problem-solving
• High attention to detail and documentation quality
• Excellent communication skills in both Turkish and English
• Strong feedback and collaboration abilities
• Facilitation, negotiation, and consensus-building skills
• Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field
• 3+ years of experience in Business Intelligence, Data Analytics, insights, or Reporting (preferably in marketing or product analytics)
• Hands-on experience with SQL, Excel, Python or R
• Familiarity with ETL processes, APIs, and data pipeline creation
• Knowledge of cloud platforms (e.g., Google Cloud, AWS) and modern data storage systems
• Proficiency in Tableau, Power BI, or Looker Studio
• Understanding of statistical methods like regression, A/B testing, and predictive modeling
• Experience with digital marketing and product analytics tools (e.g., Google Analytics, Meta Ads)
• Ability to present data insights to both technical and non-technical audiences
• Experience in segmentation, cohort/audience analysis, attribution modeling, and data storytelling
• A proactive mindset with strong work ethic and a positive attitude

Key Responsibilities

In this role, you will:

• Collaborate across marketing, product, and leadership teams to drive data-informed strategies
• Frame business questions into testable hypotheses and define KPIs (CAC, LTV, churn, conversion, etc.)
• Set up and maintain measurement plans and benchmarks
• Connect and manage data from various sources (analytics, CRM, eCommerce, ads platforms)
• Ensure data accuracy and pipeline reliability in coordination with data engineering
• Conduct customer segmentation and behavioral analysis (cohorts, journeys)
• Apply statistical models and predictive analytics to generate actionable insights
• Perform attribution analysis to evaluate campaign/channel effectiveness
• Build dashboards and visual reports using BI tools with scheduled updates
• Validate and maintain dashboard integrity and usability
• Translate complex findings into clear, strategic recommendations
• Contribute to data literacy across teams through training and documentation
• Continuously refine strategies based on evolving metrics and business needs