Data Analyst (contract)

at  Wells Fargo

Title: Data Analyst
Location: Des Moines, IA
Alternate Location: Minneapolis, MN
Duration: 12 months
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits

SUMMARY:

In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Analytics. Review and analyze complex multi-faceted, larger scale or longer-term Analytics challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.

QUALIFICATIONS:

• Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
• Experience with SAS. Ability to understand code, write new code, create/ work with predictive models (no development).
• Experience with SQL (Teradata/SQLServer).
• Experience optimizing SQL queries or optimizing dashboards.
• Experience in gathering, analyzing, and interpreting large datasets.
• Experience building PowerPoint presentations for senior management.
• Python experience (preferred).
• Thought leadership.
• Proactive in analytics needs and solving business problems.
• Excellent concise communication skills both written and verbal.

• 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.