Senior Lead Data Analytics Consultant (contract)

at  Wells Fargo

SUMMARY:

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 more experienced 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.

QUALIFICATIONS:

• Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
• Strong experience with SQL (Teradata / SQLServer)
• Prior SAS experience-Ability to write new code, understand existing code and create/work with predictive models
• Experience with ETL/ELT and data engineering tasks across multiple data sources
• Experience optimizing SQL queries or optimizing dashboards for queries and reporting
• Experience in gathering, analyzing and interpreting large datasets
• Experience building PowerPoint presentations for senior management
• Ability to create solutions thru data.
• Ability work within Python (Preferred)
• Background in Statistics (Preferred)

• Collect appropriate data for analysis by connecting to various data sources and platforms, combining structured and non-structured data
• Compile and organize datasets to enable analytics, report building and ‘story telling’ of customer experience through the complaint handling processes
• Develop hypotheses regarding trends and drivers of customer feedback; execute analytical process to support/disprove and organize output into a concise and effective presentation narrative with appropriate detail and visualizations
• Lead analytical projects with solid organization and clear communication of objectives, tasks/path deliverables and timelines
• Demonstrate exceptional quality and attention to detail in building and documenting data and analytics processes and execution of rigorous validation process to ensure high levels of confidence in findings and extrapolations.