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The Data Analytics Senior Analyst is a seasoned professional role that applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flows. The role evaluates moderately complex and variable issues with substantial potential impact, requires good analytical skills, and involves coaching and training of new recruits. Responsibilities include strategic data analysis, mining data, delivering analytics initiatives, consulting with business clients, and driving communication between business leaders and IT.
Job Responsibility:
Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flows
Coordinates and contribute to the objectives of data science initiatives and overall business through leveraging in-depth understanding of how areas collectively integrate within the sub-function
Assumes informal/formal leadership role through coaching and training of new recruits
Significantly influences decisions, work, and performance of all teams through advice, counsel and/or facilitating services to others in the business
Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Delivers analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan
Consults with business clients to identify system functional specifications
Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business goals
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
Leads system change process from requirements through implementation
provides user and operational support of application to business users
Formulate and define systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards
Impacts the business directly by ensuring the quality of work provided by self and others
impacts own team and closely related work teams
Considers the business implications of the application of technology to the current business environment
identifies and communicates risks and impacts
Drives communication between business leaders and IT
exhibits sound and comprehensive communication and diplomacy skills to exchange complex information
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Requirements:
8+ years experience using tools for statistical modeling of large data sets
Strong experience in Python/PySpark Development
Ability to effectively use complex analytical, interpretive and problem solving techniques
Demonstrated interpersonal, verbal and written communication skills
Bachelor’s/University degree or equivalent experience
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