Perform advanced data analysis to identify trends, patterns, and opportunities for business improvement
Translate complex data into clear, actionable recommendations for stakeholders
Mentor Data Analysts, providing guidance, training, and performance feedback
Establish best practices for data analysis, visualization, and reporting
Develop dashboards and reports using tools such as Power BI, Tableau, or similar platforms
Lead analytical initiatives throughout the organization
Partner with business units to understand objectives and define analytical requirements
Support strategic initiatives by delivering data-driven insights and predictive models
Ensure data integrity, accuracy, and compliance with governance standards
Work closely with Data Engineering teams to optimize data pipelines and infrastructure
Present findings to senior leadership in a clear and compelling manner

Bachelor’s degree in Data Science, Statistics, Computer Science or related field
5+ years of experience in data analysis or business intelligence roles
2+ years of data engineering experience within SQL or Python
2+ years’ experience within test automation frameworks (Selenium, Cypress, Playwright, etc.) and AI-driven testing tools
2+ years’ experience in performance and stress testing tools (JMeter, LoadRunner, Gatling)
Hands-on experience with DevSecOps practices, CI/CD pipelines, and cloud environments
Experience in data manipulation, programming for analysis, and data modeling
Familiarity with compliance standards (ISO, SOC, GDPR)
Experience with AI/ML-based testing solutions

Senior AI Data Analyst

Key skills