•Drive Commercial Insights: Partner with EMEA Distribution to deliver data-led insights that improve client engagement and business performance.
•Data Transformation: Drive client data transformation and in alignment with enterprise data governance practices
•Process Automation & AI driven initiatives: Deliver automation/ AI initiatives to enhance productivity, data accuracy, and turnaround time.
•Advanced Analytics: Support analytical initiatives, including trend analysis, forecasting, and business diagnostics, as aligned to business priorities.
•Stakeholder Engagement: Build strong stakeholder relationships to understand requirements, prioritize initiatives, and deliver high-impact solutions.
Required Qualifications
•Bachelor’s or Master’s degree in a quantitative discipline (e.g., Computer Science, Economics, Mathematics, Data Science, Business Analytics).
•Strong proficiency in Python and SQL for data analysis, modeling, and automation.
•Strong attention to detail, with proven ability to identify data irregularities, conduct root-cause analysis, and work extensively with untidy data and spreadsheets.
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•Basic to intermediate understanding of machine learning concepts, with a willingness to further develop applied analytics and AI capabilities.
•Familiarity with modern data ecosystems, including Snowflake and AWS , is preferred.
•Exposure to AI-enabled tools (e.g., Copilot) to enhance efficiency and output quality.
•Demonstrated ownership mindset, consistent delivery quality, and strong problem-solving capability.
•Excellent written and verbal communication skills, and stakeholder engagement abilities.
