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Recognizable analytics employer, mid-senior generalist data role with common SQL/PySpark skills.
Core data skills are transferable, but ESG/Banking domain requirement raises sensitivity to medium.
Explicit 7+ years, mandatory SQL/PySpark/Python and domain experience make screening strict.
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Lead and manage a multi-disciplinary team to deliver advanced data and analytics solutions globally with local deployment.
Own the coordination and successful delivery of data analytics initiatives, including JIRA ticket management and Agile project methodology enforcement.
Collaborate with cross-geography stakeholders to design solutions, manage risks, and ensure delivery milestones and quality standards are met.
7+ years of professional experience as a Lead Data Analyst.
Proficiency in SQL (including Spark SQL), PySpark, and Python with ESG or Banking domain experience.
Experience in Agile framework, JIRA ticket management, and delivery sprint cadence.
Graduate degree in Computer Science, Data Science, or related field.
Experienced in leading data analytics teams with a focus on global initiatives and local deployment coordination.
Strong ability to work with diverse technical and business stakeholders for end-to-end solution delivery and risk management.
Skilled in enforcing Agile methodologies and managing delivery pipelines in complex, multi-disciplinary environments.