Analytics Consultant

About this role: Wells Fargo is seeking a Analytics Consultant

• Consult with business line and enterprise functions on less complex research
• Use functional knowledge to assist in non-model quantitative tools that support strategic decision making
• Perform analysis of findings and trends using statistical analysis and document process
• Present recommendations to increase revenue, reduce expense, maximize operational efficiency, quality, and compliance
• Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency
• Participate in all group technology efforts including design and implementation of database structures, analytics software, storage, and processing
• Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff
• Understand compliance and risk management requirements for supported area
• Ensure adherence to data management or data governance regulations and policies
• Participate in company initiatives or processes to assist in meeting risk and capital objectives and other strategic goals
• Collaborate and consult with more experienced consultants and with partners in technology and other business groups

• 2+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• Bachelors or Masters degree in Analytics, Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.
• Strong hands-on experience with SQL, SAS, Python, Power BI, and Tableau for data analysis, visualization, and reporting.
• Experience in Power Automate, workflow automation, and applying Machine Learning techniques to solve business problems.
• Proven ability to design and deliver end-to-end analytical solutions, including data extraction, transformation, modeling, automation, reporting, and insight generation.
• Demonstrated expertise in developing scalable and efficient analytical processes that enable data-driven decision-making.
• Good understanding of Software Development Life Cycle (SDLC), production support, release management, and deployment best practices.

• Intellectually curious/ quick thinker
• Good data interpretation and presentation skills
• Willingness/ability to take ownership of a project
• Being able to adapt to change
• Thrives in a collaborative team environment and is able to work effectively with teams in remote locations
• Comfortable in a virtual environment, e.g. conference calls and webinars
• Bring aculture of operational excellence and enhancements
• Good team player
• Relationship Management
• Excellent verbal, written, and interpersonal communication skills and demonstrate strong presentation skills
• Engage with cross culture team members and stake holders
• Engagement and work with multiple senior management stakeholders