Senior Data Analyst and Data Advisory Lead
Strategy & Problem Solving:
•High problem understanding and solving skills
•Ability to understand "big picture" problems and help business think through the art of the possible
•Think analytically, connect various data sources and lay out an approach for the team to apply data science or analytic techniqies to solve the problem
•Ability to appropriately prioritize and multi-task, stay self-motivated, have a strong attention to detail, and deliver under pressure
•Quick learner of corporate / transaction banking, cash management, global trade finance, and working capital data is a plus
•Keep up with market trends and new techniques.
Leadership, Management and Communication Skills:
•Demonstrate thought leadership and self-direction while working through business problems
•Strong partnership with business contacts, help business understand the insight, help think through next steps
•Think, problem solve and lay out the approach for team of data scientists to execute on.
•Effectively delegate tasks, steer and manage the team members
•Good consultation and communication skills to effectively articulate business needs and explain data insights
•Develop a comprehensive understanding of corporate banking data, business goals and KPIs which will iteratively lead to use cases and analyses required
•Connect to Hadoop and extract the data for independent analysis
•Can build basic models but have a strong analytics skillset, understanding business needs and laying out approach and next steps to solve
•Familiarity using analytical excellence and statistical methods to identify opportunities through data to operate more efficiently, from infrastructure optimization to user behavior to enhancing efficacy.
•Engage broadly with the organization to identify, prioritize, frame, and structure complex and ambiguous challenges, where advanced analytics projects or tools can have the biggest impact.
•Chart out prototypes for technology team to deliver visualization of the output
Education / Experience:
•Total relevant experience of 10-12 years in the industry
•Experienced in analytics, data consultation experience is a must
•Knowledge of Python, Spark, and various Data Science models is preferred
•Bachelor's/Master's degree in analytics with Business Studies preferred - Financial Services Experience also preferred
•Must be comfortable using Microsoft Office suite of products - Word, Excel, PowerPoint, Project, Visio, Outlook (5+ years) Job Family Group:
Product Management and Development Job Family:
Product Strategy and Planning Time Type:
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