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Strong employer brand, common data analyst title, metro location, and broad skill requirements increase competition.
Core Python, SQL, and BI skills are transferable, though financial services domain preference raises moderate sensitivity.
Mandatory Python and SQL plus platform preferences create moderate technical filtering without explicit years requirement.
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Support EMEA Distribution by transforming client data for trusted insights and enhancing commercial decision-making using data and technology.
Drive process automation and AI-enabled initiatives to improve productivity, data accuracy, and turnaround time.
Engage with stakeholders to understand business pain points, prioritize initiatives, and deliver impactful data-led solutions.
Bachelor’s or Master’s degree in quantitative discipline (e.g., Computer Science, Economics, Mathematics, Data Science, Business Analytics).
Strong proficiency in Python and SQL for data analysis, modeling, and automation.
Experience with data governance, data transformation, and working with untidy data/spreadsheets.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in delivering data-driven insights and advanced analytics within a fast-paced, client-centric business environment.
Comfortable working with modern data ecosystems like Snowflake and AWS, and applying AI-enabled tools to enhance output quality.
Prior exposure or interest in financial services or asset management domain is advantageous but not mandatory.