AI Automation Engineer with 2+ years in Data Analytics & Backend Systems
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Product Analyst and Automation Engineer with 2.7 years of experience in the Temenos T24 core banking platform, specializing in data analysis, operational analytics, workflow automation, and backend system optimization for 150+ enterprise banking clients. Proficient in Python, SQL, and PostgreSQL for data engineering, large-scale data analysis, backend debugging, and production issue investigation. Skilled in designing Power BI dashboards with DAX-driven KPIs, integrating REST APIs, and analyzing operational workflows to improve business visibility. Experienced in developing n8n automation workflows and AI-driven process solutions (OpenAI, Gemini) that reduce manual effort by 50%, streamline enterprise operations, and enhance decision-making through data-driven insights.
Cultural Fit Analysis
The candidate's experience in a product/data analyst role within a banking domain, coupled with their focus on AI automation and backend systems, aligns well with an 'AI Automation Engineer' role. Their project diversity, including analytics dashboards and automation workflows, shows adaptability. However, the lack of diverse industry experience outside of banking might limit broader cultural exposure. The absence of completed psychometric tests makes it difficult to assess work attitude, stress handling, and team collaboration comprehensively.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, evidenced by their work in debugging, root cause analysis, and optimizing transaction processing. Their experience in collaborating with clients and cross-functional teams for requirements gathering and process optimization indicates good teamwork and communication. The ability to create technical onboarding documentation suggests a proactive approach to knowledge sharing. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills and operational fit is limited.