Location: This position will be located on-site in one of the following locations:
The Collections Operations Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes, work-flow and productivity for Collections Operations. Evaluates complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills and mindset in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Ability to influence decisions through advice, counsel and/or facilitating services to internal/external partners and collaborate effectively with others are required.
Queries and processes structured/unstructured data from relational database or “data lake” to drive quantitative business insights.
Translates business hypothesis/question/problem into analytics methodology.
Provides in-depth and sophisticated analysis with interpretive thinking to define problems and develop innovative solutions. Influences strategic functional decisions through advice, counsel or provided services that have direct impact on the business. Persuades and influences others through developed communication and diplomacy skills with colleagues in other areas and occasional external customers
Uses broad discretion in developing solutions for broad based business reporting issues.
Possesses a comprehensive understanding of how own area and others collectively integrate to contribute towards achieving business objectives.
2+ years statistical programming experience with SAS, SQL and Python
R is preferred, but not required.
Hands on (6 mo./some working) experience with Big Data and Hadoop, Hive and PySpark are preferred
Advanced proficiency with MS Excel and PowerPoint required
2+ Analytics experience - financial service experience preferred.
Ability to take the data/analytics and create a story particularly to non-technical individuals.
Collections knowledge is desired, but not required
Must be able to organize and prioritize multiple assignments to meet tight deadlines.
Demonstrated ability to derive concise business insights from complex data
Ability to communicate effectively in non-technical terms for technical concepts.
Bachelor’s/University degree preferred or equivalent experience required.
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