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Senior Business Intelligence Consultant - WIM Operations Data, Analytics and Reporting (DAR)

Wells Fargo
FULL_TIME Remote · US Charlotte, NC, Mecklenburg, US USD 87000–154000 / month Posted: 2026-05-17 Until: 2026-07-16
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Job Description
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. And we're recognized for it - Wells Fargo once again ranked in the top three - making us the #1 financial services employer - on the 2025 LinkedIn Top Companies list of best workplaces "to grow your career" in the U.S. Join us! About This Role Wells Fargo is seeking a Senior Business Intelligence Consultant to join our Wholesale Operations Data, Analytics and Reporting Team , specifically in support of Wealth & Investment Management (WIM) operations. 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. In This Role, You Will Lead or participate in moderately complex initiatives within the Business Intelligence functional area and contribute to large-scale planning related to business intelligence deliverables that enable clear and consistent delivery of insights Review and analyze moderately complex business, operational, or technical challenges that require an in-depth evaluation of data interpretation and visualization methods to create diagnostic analytics and dashboards Independently resolve moderately complex issues and lead team to meet data-related deliverables as it contributes to developing intuitive compelling outputs used to inform decisions and strategy Leverage a solid understanding of data structures, domain specific knowledge, and the end-user experience to impact the final data visualization product, which includes dashboards, reports, insights, or analyses Collaborate and consult with peers, colleagues, and mid-level managers to achieve goals related to assessing business needs and producing actionable insights and trends leveraging data visualization and business intelligence Lead projects, teams and serve as a mentor for lower-level staff Work to drive adoption of insights and metrics as a resource for the company to enable a data-driven decision-making approach Required Qualifications: 4+ 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: Proven experience: eliciting, analyzing, and documenting business requirements, with the ability to translate stakeholder needs into clear functional specifications, KPIs, and success metrics - developing reports using Power BI. Strong ability to analyze end-to-end business processes, identify inefficiencies, and recommend data-driven improvements, including leveraging technology solutions such as low-code platforms (e.g., Microsoft Power Apps). Experience partnering with business stakeholders to define reporting and analytics requirements, ensuring dashboards, metrics, and insights align with business goals and user needs (hands-on development experience is a plus). Working knowledge of modern, cloud-based data ecosystems (e.g., Google Cloud Platform, BigQuery), with the ability to collaborate effectively with data engineering and BI teams on data availability, quality, and semantic definitions. Solid understanding: of core data concepts, including data modeling, transformations, and data quality principles, enabling effective communication between business and technical teams. Demonstrated ability to analyze large, complex datasets to identify trends, risks, and opportunities, and translate findings into actionable recommendations for business leaders. Experience supporting the modernization of legacy reporting and analytics solutions by refining business requirements, improving usability, and aligning to evolving business needs. Excellent communication facilitation and storytelling skills, with the ability to clearly present insights, recommendations, and trade-offs to both technical and non-technical a