Mandatory : SQL+SAS+ Tableau
Good to have : Python
- Advise experienced leadership to develop or influence statistical modeling, analytical strategies, and advanced data visualization for complex business and technical needs
- Lead the strategy and resolution of highly complex and unique challenges requiring analytical application of industry techniques, advance data from multiple sources, and mathematics behind data analysis across the enterprise, delivering solutions that are long-term, large-scale, and require vision, creativity, innovation, advanced analytical, and coordination of highly complex activities
- Design and lead complex projects, analyses, and application of techniques across the enterprise
- Provide vision, direction, and expertise to leadership on implementing innovative and significant business solutions that align to the enterprise
- Engage with peers, managers risk, compliance, managers across the enterprise, and serve as an expert advisor to leadership team.
Required Qualifications, US: 4+ years of Quantitative Solutions Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications :
- Previous experience with Python and Pyspark is strongly preferred
- NLP/Text experience is strongly preferred
- Source, process and analyze data related to customer contact data (transcriptions and meta data).
- Design and optimize code for production activities
- Design reports and controls to monitor data flow and integrity
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