Senior Analytics Consultant

About the Role

Key Responsibilities

• Performs moderately complex data mining from very large, complex, and multiple data sources using tools such as SAS, SQL, SSIS/SSRS to analyze, model, and compare data.
• Coordinate and drive a common approach to reporting in support of the Fraud and Claims Management team.
• Partner in the development of moderately complex dashboards and visualizations using Tableau and/or PowerBI, integrating multiple data sources and security tiers.
• Provide consulting services to Operations Leadership and partners around Analytics, Dashboard Development, and Data Mining using in-depth knowledge and expertise.
• Provide insight and knowledge around obtaining data and its extraction from various systems including Prevent, Fraud Services, DAT, CLAIMS2, First Track, DASH, CCM, LU, CSTAR, and BMG.
• May lead project or virtual teams.
• Communicate effectively with peers and partners in operational and management areas.
• Support technical build-out and/or support of databases, query tools, reporting tools, BI tools, dashboards, etc., that enable analysis, modeling, and data visualization.
• Perform activities related to creation, implementation, documentation, validation, and maintenance of complex models used to quantify, analyze, and manage customer complaints.

Requirements

• 4+ years of Analytics experience, or equivalent demonstrated through work experience, training, military experience, or education.
• 4+ years of SQL experience.
• Ability to write complex queries and analyze data sources across Wells Fargo systems including BMG, EIW, PEGA, NICE, INDIGO, HOGAN, and SASGrid.
• Strong organizational, multi-tasking, and prioritizing skills.
• Ability to translate complex technical needs into straightforward requests and collaborate effectively.
• Ability to present complex material in a digestible manner to all levels of management.
• Experience with research and analysis.
• Ability to quickly learn business operations and processes.
• Bachelor's degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or related fields with 4+ years of experience in reporting, analytics, or modeling.

Nice to Have

• Demonstrated data visualization experience using BI tools such as Tableau or Microsoft BI.
• SAS experience, including SAS Visual Analytics and/or SAS Visual Investigator.
• Experience with AI tools to develop analytic solutions to complex business problems.
• Ability to execute in a fast-paced, high-demand environment while balancing multiple priorities.

Qualifications

• Bachelor's degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or related fields.
• 4+ years of experience in reporting, analytics, or modeling.

Benefits & Perks

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement