Data Entry Job At Wells Fargo

Remote, USA Full-time Posted 2025-04-19

At Wells Fargo, we're searching out proficient folks who will place our clients in the middle of the entirety we do. We are searching for applicants who include diversity, fairness and inclusion in a place of business wherein all people feel valued and inspired. Help us construct a higher Wells Fargo. It all starts with excellent talent. It all starts with you. About this position: Wells Fargo is searching for a Senior Lead Analytics Consultant inside the Cards, Retail, and Merchant Services (CRMS) Operations Analytics group to aid Small Business Lending and CRMS Operations. The position will consciousness of fixing problems, acting analyses, handing over insights, and growing metrics and reporting to pick out possibilities and execute important initiatives to optimize patron collections method and operations and keep regulatory compliance, and lead method development and hazard manipulation improvement initiatives. In this position, you will: <ul> <li>Act as a consultant to management to broaden or have an effect on analytical techniques for notably complicated commercial enterprise and technical needs</li> <li>Strategically engage, broaden and keep sturdy operating relationships with commercial enterprise partners, stakeholders, and all tiers of experts throughout the corporation and function a professional consultant to management</li> <li>Lead method and determination of notably complicated and precise challenges, and supply answers which might be long-term, large-scale, and require vision, innovation, and coordination of notably complicated sports which includes however now no longer constrained to Business Intelligence and self-provider answers</li> <li>Provide vision, direction, and information to senior management on enforcing revolutionary and big commercial enterprise answers that align with the corporation</li> <li>Lead important initiatives, teams, and/or mentor or control much less skilled staff, interns, and outside contractors.</li> </ul> Required Qualifications: <ul> <li>7+ years of Analytics, Reporting, Financial Modeling or Statistics experience, or equally proven via one or a mixture of the following: work experience, training, army experience, education.</li> </ul> Desired Qualifications: <ul> <li>Advanced degree skill ability in BI tools (Tableau, Power BI), SAS, Python, SQL Server improvement making use of Management Studio, Integration Services, Reporting Services, and Analysis Services</li> <li>Experience operating with a couple of database systems which include Oracle, DB2, and Teradata</li> <li>Experience in Financial Services enterprise with emphasis on Consumer Lending which includes Collections, Servicing, Small Business Lending, Credit Card, Retail Services, Personal Lending, and Deposit products</li> <li>Excellent verbal, written and interpersonal conversation capabilities</li> <li>Ability to research, trend/analyze, bring together and carry out a complicated evaluation on important records, after which summarize and suggest new techniques and answers primarily based totally on those results</li> <li>Excellent presentation capabilities to relate a tale custom designed to audiences with various backgrounds via BI and different mediums subsidized via way of means of sturdy analytics and records</li> <li>Ability to cope with ambiguity and work independently</li> <li>Strong mission control capabilities with the capacity to control a couple of initiatives concurrently</li> <li>Strong analytical and technical capabilities to investigate complicated records whilst taking note of info and accuracy</li> <li>Experience growing partnerships and participating with different commercial enterprises and useful regions</li> <li>Ability to take initiative, pick out possibilities and enforce alternate or suggest answers</li> <li>Ability to work efficiently in group surroundings and throughout all organizational tiers, wherein flexibility, collaboration, and flexibility are important</li> </ul> Pay Range: <ul> <li>$45 - $65 hourly</li> </ul>

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