Insights & Analytics Consultant at U.S. Bank in Charlotte, NC
- Company: U.S. Bank
- Location: Charlotte, NC
- Salary: $98K – $116K
- Job type: full time
- Workplace: onsite
- Posted: 2026-09-14
Job description
At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One. Job Description As an Insights & Analytics Consultant , you'll partner with leaders across Consumer Banking, Growth Studio, and enterprise teams to transform complex data into actionable insights that influence strategy, improve customer experiences, and drive business performance. In this role, you'll combine analytics expertise, business acumen, and storytelling skills to solve complex problems, identify opportunities, measure outcomes, and help leaders make confident, data-driven decisions. You'll lead analytics initiatives from discovery through insight generation, performance measurement, experimentation, and visualization, while serving as a trusted advisor to business partners across the organization. Key Responsibilities Strategic Analytics & Business Partnership Partner with business leaders to understand objectives, define analytical approaches, and deliver actionable recommendations. Translate complex business questions into data-driven solutions and measurable outcomes. Identify opportunities to improve customer engagement, operational performance, process effectiveness, and business growth. Present insights and recommendations through clear, compelling storytelling and visualization. Influence decision-making through fact-based analysis and strategic recommendations. Data Analysis & Insights Analyze large and complex datasets to identify trends, risks, and opportunities. Develop KPI frameworks, scorecards, and performance metrics to measure business outcomes. Conduct exploratory analysis, segmentation, forecasting, root-cause analysis, and performance evaluations. Synthesize insights from multiple data sources into actionable business recommendations. Maintain analytical rigor through data validation and quality assurance practices. Advanced Analytics & Experimentation Design and evaluate experiments, test-and-learn strategies, and measurement frameworks. Apply statistical techniques to validate hypotheses and quantify business impact. Support predictive and advanced analytics initiatives. Partner with Data Science and Technology teams to operationalize solutions. Business Intelligence & Visualization Develop dashboards, reporting solutions, and self-service analytics tools using Power BI and related technologies. Create scalable reporting and visualization solutions that improve transparency and decision-making. Automate recurring reporting and analytical processes. Promote visualization and reporting best practices. Collaboration & Leadership Partner with Technology, Data Engineering, and Governance teams to improve data accessibility and quality. Support enterprise analytics initiatives within cloud-based data environments. Mentor analysts and share analytics best practices across the organization. Champion a culture of data-driven decision-making. Basic Qualifications Bachelor's degree in a related field, or equivalent work experience. Five to seven years of statistical and/or data analytics experience. Preferred Qualifications Strong analytical and problem-solving skills with the ability to interpret complex data and deliver actionable insights. Experience consulting with business stakeholders and translating analytical findings into strategic recommendations. Experience developing KPI frameworks, scorecards, and performance measurement solutions. Proficiency in SQL and Python for data extraction, transformation, analysis, and automation. Experience with statistical analysis, e
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