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Manager, Data Analytics (Private Student Lending)
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Sallie Mae
Newark, DE (In Person)
Full-Time
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Job Description
at Sallie Mae in
Newark, Delaware, United States Job Description TITLE:
Manager, Data Analytics (Private Student Lending)Duties :
Responsible for analyzing complex data sets, identifying patterns and trends, and presenting findings to inform decision making at all levels of the organization. May lead a team of data analysts to develop and implement analytical frameworks to uncover insights and improve business performance. Analyze complex data sets to identify patterns and trends that will drive business growth. Develop models and forecasts to support business planning and decision making. Present findings and recommendations to senior leadership to influence strategic decision-making. Collaborate with cross-functional teams to understand business objectives and provide insights to inform business strategies. Ensure data integrity and accuracy by monitoring data sources and implementing quality control processes. Stay up-to-date with industry trends and emerging technologies to drive innovation and continuous improvement. Hybrid work permitted 2 days per week within a reasonable commuting distance of the Newark, Delaware Office.SCHEDULE
40 hours per week, Monday through FridayLOCATION
SMB Business Development, Inc., 300 Continental Drive, Newark, DE 19713REQUIREMENTS:
Master's degree in Mathematics, Statistics, Economics, Business Analytics, Computer Science, or related field of study and two (2) years of experience as a Data Analyst, or related role where required experience was gained. Also requires 2 years of experience in the following:- SQL, Python, or R;
- Data visualization tools such as Tableau, or Power BI;
- Write and maintain queries at an intermediate skill level, including table joins, sub-selects, manual business logic calculations, and case when groupings;
- Perform and interpret the results of statistical analysis such as logistical regression to provide critical and actionable business insights;
- Python capabilities and packages such as Pandas, to create and maintain business processes such as external data collection;
- Implement automation techniques for recurring reporting and data enablement to ensure accuracy and ease effort;
- Create and maintain visualizations in Power BI to provide greater off-the-shelf business intelligence and performance monitoring;
- Create and analyze pivot tables based on data output of queries; and
- Implement intermediate-level Excel functions such as sumproducts and vlookups.