Data Science Analytics Consultant - SAS, SQL, Customer Hypotheses

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Analytics Consultant in Charlotte, NC, Phoenix, AZ, Minneapolis, MN, Des Moines IA (Hybrid).

Work with the brightest minds at one of the largest financial institutions in the world. This is long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

Contract Duration: 12 Months+

Required Skills & Experience

• 4+ years of SAS - ability to understand code, write new code, create/ work with predictive models (no development)
• 6+ years of SQL (Teradata / SQLServer)
  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
  Python expertise is a plus
• Thought leadership
• Ability to be proactive in analytics needs and solving business problems
• Creating solutions through data
• Build relationships, communicate effectively, and consult with business partners

What You Will Be Doing

• 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 storytelling 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.

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