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The Data Science Senior Analyst role involves applying in-depth disciplinary knowledge, contributing to the development of techniques and improvement of processes, evaluating moderately complex issues, and influencing decisions through advice and counsel. Required skills include Python, Pyspark, Hadoop, Linux Shell scripting, and data management tools like Teradata or Oracle SQL.
Job Responsibility:
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
deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
consults with business clients to determine system functional specifications
applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives
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
formulates and defines 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
Requirements:
5-8 years experience in business and data analysis, process improvement and project management
ability to effectively use complex analytical, interpretive and problem solving techniques
demonstrated interpersonal, verbal and written communication skills
methodical attention to detail
experience using tools for statistical modeling of large data sets
skills : hadoop, pyspark or python, jira, conference page and service now, Linux shellscripting, data: teradata / oracle sql
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