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Lead Business Intelligence Consultant- Wholesale Commercial & CIB Lending Operations

Wells Fargo
141278-NC-CIC Customer Information Ctr, United States, United Statesfull_timeVerifiedPosted 22 Oct 2025
💰 $179,000/yr($100,000/yr$179,000/yr)

About the role

Why Wells Fargo

Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place.

Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. Join us!

About this role:

Wells Fargo is seeking a Lead Business Intelligence Consultant to join our Wholesale Operations Data, Analytics and Reporting Team, specifically in support of Commercial Banking Operations and CIB Lending Operations (CIBLO).  This position entails using data analytic skills and methods to solve problems, create metrics and reports, perform analyses, provide feedback, and deliver insights to senior leaders to better run their business.  This includes areas related but not limited to productivity, SLAs, capacity, and other operational performance metrics.

  • Drive BI Initiatives and Planning – cross-functional complex initiatives with broad impact and act as key participant in large-scale planning for the Business Intelligence functional area that enable clear and consistent delivery of insights

  • Analyze and Visualize Complex Data – Review and analyze complex, multi-faceted, longer-term business and technical challenges that require in-depth evaluation of data aggregation and visualization methodology to drive user-centric diagnostic analytics and dashboards

  • Translate Business Needs to Technical Specs – Capture and convert business requirements into technical intelligence specifications; oversee the delivery of data, analytics, and reporting solutions for Wholesale/CIB Lending Operations in collaboration with DAR, Technology, and other internal stakeholders.

  • Lead Operational Data Support – Make decisions in complex situations requiring solid understanding of data structures, domain-specific knowledge and the end user experience that impact the final data visualization product, which includes dashboards, reports, insights, or analyses

  • Insight Generation – Develop impactful dashboards and visualizations for senior leadership, leveraging the latest data and analytics platforms to deliver next-day insights on SLAs, KPIs, and productivity metrics

  • Design with Data and User Focus – Use strong knowledge of data structures, domain-specific expertise, and user experience principles to shape final data visualization products such as dashboards, reports, and analytical insights

  • Lead Projects and Mentor Staff – Influence and lead a broader work team to deliver data and visual outputs and new initiatives to inform strategy and decision making by the company

  • Promote Data-Driven Culture – Champion the adoption of insights and metrics across the organization to support a culture of data-driven decision-making.

  • Drive Change – Revise and modernize existing reports by migrating them from older technologies to current platforms with a focus on improving efficiency, automation, and scalability

Required Qualifications:

  • 5+ years of business intelligence and data visualization experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

  • Experience with Optimization Modeling: hands-on expertise in linear programming, mixed-integer programming, and heuristic algorithms to solve real-world business problems.

  • Proficiency with Microsoft Fabric: including experience integrating data pipelines, leveraging OneLake, and building semantic models for scalable analytics.

  • Advanced analytic toolsets such as Python (e.g., SciPy, Pyomo), R, SAS, SQL or similar platforms for statistical modeling and machine learning.

  • Cloud Based: experience working with cloud-based data platforms and modern BI tools (e.g., Power BI, Tableau) to visualize and communicate complex analytical results.

  • Expertise in data preparation, blending, and automation using tools such as Alteryx, or Python with a focus on efficiency and scalability.

  • Experience designing and deploying low-cod

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Company

Wells Fargo

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