Senior Data Analyst

Requirements:

• Master's degree in computer science or comparable practical experience
• 5 years of industry experience with 4 years of experience in applied data science
• Excellece in prioritizing and work organization.
• Ability to work effectively in a dynamic workflow.
• Experience in working on international project in a global oriented companies.
• Professional English - C1 is a must.
• Proficiency in data analysis tools such as SQL, Python, and Excel.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Experience with Databricks, Azure Data Lake, and other big data technologies.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.
• Comfortable with cross-functional teams to understand data needs and provide actionable insights.

Your responsibilities:

• Partner with internal teams to design smart KPIs, intuitive reports, and impactful metrics 
• Turn secure platform data into strategic insights 
• Ideate and promote new data stories that drive decisions 
• Ensure data accuracy, consistency, and reliability through validation and quality control processes.
• Manage data analysis projects, including resource allocation, timeline management, and stakeholder communication.
• Effectively communicate findings to both technical and non-technical audiences, translating complex data into clear and actionable recommendations.
• Apply data analysis to solve complex business problems, identifying opportunities for improvement and optimization.