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The Data Analytics Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.
Job Responsibility:
Integrates subject matter and industry expertise within a defined area
Contributes to data analytics standards around which others will operate
Applies in-depth understanding of how data analytics collectively integrate within the sub-function
Employs developed communication and diplomacy skills
Resolves occasionally complex and highly variable issues
Produces detailed analysis of issues
Responsible for volume, quality, timeliness and delivery of data science projects
Appropriately assess risk when business decisions are made
Requirements:
6-10 years experience using codes for statistical modeling of large data sets
12+ years of progressive experience in the IT field, with a focus on data engineering and analytics
8+ years of hands-on experience working with Hadoop and other big data technologies
8+ years of hands-on experience working with Informatica and SAS
8+ years of experience in Python programming with expertise in automation testing
8+ years of experience in designing, developing, and implementing complex data pipelines
Experience in modernizing legacy pipelines
5+ years of experience leading large-scale data and analytics projects
Familiarity with CI/CD practices and automation tools
Proven experience in team leadership
Industry experience within banking, capital markets, or the broader financial services sector
Hands-on experience with enterprise-scale, multi-region projects
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