Business Intelligence Analyst - Sales Analytics

U.S. Bank • Minneapolis, MN

1d • Hybrid

About The Position

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 Responsible for working on big data/analytics projects that gather and integrate large volumes of data, perform analysis, interpret results, and develop actionable insights and recommendations for use across the company. Acquires data from multiple data sources in order to perform analysis. Identifies, analyzes and interprets trends or patterns in complex data in order to provide answers to business questions as well as provide recommendations for action. Interprets data and analyzes results using various statistical techniques and tools. Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results/recommendations, so they act upon them and make data driven decisions. Collaborate with various partners to provide a holistic view of the analysis. Measures and monitors results of applied recommendations and present adjustments. Ensures all data acquisition, sharing and results of applied recommendations are compliant with company standards. This role has an emphasis on sales reporting utilizing data from Salesforce and Oracle, powered by Microsoft Fabric tools.

Requirements

• Bachelor's degree in a related field, or equivalent work experience
• Five to Seven years of data analytics experience
• Direct experience writing complex queries in SQL from scratch.
• Strong data visualization skills using Power BI (preferred), Tableau, Looker, or equivalent.
• Exposure to Azure SQL Database, Microsoft Fabric, and Oracle.
• Experience using Salesforce data objects and incorporating this data into analytics solutions.
• Experience in analytics, advanced analytics/statistics, predictive modeling.
• Strong analytic skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets.
• Demonstrated project management skills.
• Effective interpersonal, verbal and written communication skills.

Responsibilities

• Working on big data/analytics projects that gather and integrate large volumes of data
• Perform analysis
• Interpret results
• Develop actionable insights and recommendations for use across the company
• Acquires data from multiple data sources in order to perform analysis
• Identifies, analyzes and interprets trends or patterns in complex data
• Provide answers to business questions as well as provide recommendations for action
• Interprets data and analyzes results using various statistical techniques and tools
• Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results/recommendations, so they act upon them and make data driven decisions
• Collaborate with various partners to provide a holistic view of the analysis
• Measures and monitors results of applied recommendations and present adjustments
• Ensures all data acquisition, sharing and results of applied recommendations are compliant with company standards

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees