Senior Data Analyst

Description: Partner with stakeholders to solve complex business challenges through data analysis and actionable recommendations. Design and maintain business KPIs, ensuring metric consistency and data quality across teams. Analyze large datasets using SQL and Python to identify trends and support strategic decision-making. Create scalable analytical solutions, including Power BI dashboards and self-service reporting. Lead investigations and impact assessments for product launches and operational performance. Utilize AI tools to enhance data exploration and automate analyses. Communicate analytical findings effectively to influence decisions. Collaborate with Data Engineering to improve data quality and reporting. Mentor analysts in technical skills and stakeholder communication. Drive alignment and knowledge sharing across global teams. Requirements: Bachelor's or Master's degree in a quantitative discipline (Engineering, Computer Science, Statistics, etc.). Expert SQL skills, including complex joins and query optimization. Advanced knowledge of Power BI, including DAX and visualization design. Strong Python skills for data analysis and automation. Experience with large datasets and scalable analytical solutions. Solid understanding of statistics and hypothesis-driven analysis. Familiarity with AI tools to enhance analytical workflows. Strong data visualization skills and user-centered design. Excellent storytelling and communication skills in English. Benefits: Performance-based bonus and attendance bonus. Private pension plan and meal allowance. Health, dental, and life insurance, with discounts on medicines. Casual office environment and dress code. Childcare subsidies and transport allowance. Access to language and training platforms, scholarships, and school materials assurance.