U.S. Bank is seeking an Advanced Analytics Analyst to deliver insightful analysis and support strategic initiatives for their business partners in product, marketing, and sales within the Business Banking Analytics team.
Requirements
- Strong data querying skills using SQL and SAS.
- Proficiency in descriptive and advanced statistical analysis and comfortable extracting, manipulating and analyzing large complex datasets.
- Expertise in dashboard and report development using tools such as Tableau or Power BI.
- Ability to understand and leverage data science and machine learning concepts in solving analytics challenges.
- Certification in business analytics, data mining, data science or statistical analysis.
Responsibilities
- Utilize descriptive statistics to summarize and interpret business banking data, providing clear insights into trends, patterns, anomalies and opportunities.
- Perform in-depth data analysis to support various business functions, ensuring data accuracy and actionable insights.
- Apply advanced statistical methods and data science techniques, including predictive modeling and machine learning, to uncover trends and drive data-driven decision-making.
- Develop and implement data science models to predict customer behavior, develop business rules and identify business opportunities.
- Design, develop, and maintain interactive dashboards and reports using data visualization tools (e.g., Tableau, Power BI) to present key metrics and insights to stakeholders.
- Identify, source and manipulate new data sources and metrics for use in analysis.
- Build and optimize data pipelines and ETL processes to ensure seamless integration and high-quality data availability for analysis.
Other
- This position is not eligible for visa sponsorship.
- Five to seven years of statistical and/or data analytics experience
- Financial services experience.
- Excellent problem-solving abilities and a strategic mindset, with a proven track record of translating data into actionable business insights.
- Success partnering with business stakeholders to bring together analytics with business knowledge to solve a business problem and provide insights & opportunities to stakeholder.
