Wingie Enuygun Group is Turkey’s leading travel marketplace with more than 20 million visitors and 70 million page impressions each month. With its user-focused service, more than 500,000 travelers worldwide book their flights on Wingie Enuygun Group every month.

We invite you to have the opportunity to work in Wingie Enuygun Group's young and dynamic team.

We are looking for a "Data Analyst" for Wingie Enuygun Group's growing Growth. With this position, you will have the chance to take part in the team that has developed one of the most successful internet businesses in Turkey.

Requirements

What makes you special?

• Bachelor's or Master's degree in a relevant field
• 2+ years of experience in a data analyst or analytics role, preferably in a tech, AI, or business & product centric environment.
• Advanced SQL skills and experience working with relational and columnar databases (e.g., Snowflake, Redshift, BigQuery) 
• Proficient in data visualization tools (e.g. Data Studio, Qliksense) and version control systems (VCS) (e.g. Github).
• Contribution on Data Modelling, Data Warehousing
• Collaboration and communication skills, with a demonstrated ability to work effectively in a multidisciplinary agile team.
• Problem-solving skills and the ability to work independently or collaboratively in a team.

Nice to Haves

• Contribution on data lakes / data marts projects
• Familiar with Google Analytics tools
• Familiar with A/B testing, experimentation, and statistical analysis
• Experience with Python programming for data analysis and automation.

What will you do?

• Conduct in-depth data analysis to extract valuable insights, identify trends, and make data-driven recommendations.
• Collaborate with cross-functional teams to understand business requirements and provide analytical support for strategic decision-making.
• Develop and maintain dashboards, reports, and visualizations to communicate complex data findings effectively.
• Utilize advanced statistical and machine learning techniques to enhance predictive modeling and analytics capabilities.
• Work with large datasets and implement data cleansing, transformation, and validation processes.
• Stay updated on industry trends, emerging technologies, and best practices in data analytics.