U.S. Bank Business Banking Data and Analytics Developer (Telecommute) in Minneapolis, Minnesota
At U.S. Bank, we're passionate about helping customers and the communities where we live and work. The fifth-largest bank in the United States, we’re one of the country's most respected, innovative and successful financial institutions. U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors.
Job DescriptionThis individual provides data management support and warehousing development to Business Banking Operations. They support various reporting/analysis activities as well as business intelligence and dashboard creation for business banking activities. Consumes large amounts of data, analyzes, organizes, and interprets to drive decisions and manage processes amongst the business banking organization. Individual develops in .net languages, creates APIs, and interacts with enterprise data warehouses. Responsible for working on big data/analytics projects that gather and integrate large volumes of data, performs analysis, interprets results and develops 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 analyze 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 and recommendations so they activate 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.
Basic Qualifications - Bachelor's degree in a quantitative field such as econometrics, computer science, engineering or applied mathematics, or equivalent work experience - Four to five years of statistical experience
Preferred Skills/Experience - Hands on experience working with data bases and proficient in analyzing existing SQL and writing new SQL queries - Database management and ETL/Warehousing proficiency - Working knowledge of Hadoop, R and SAS - Proficiency in analytics data visualization tools such as Tableau, Power BI, or other similar tools - Skilled in translating business questions into analytics requirements - Experience packaging analytical output - Ability to take limited direction and self start a project to completion - Ability to upskill peers and fellow team members and train fellow team members on new technologies and infrastructure - Structured documentation protocols and detail oriented operating procedures discipline. - 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
Benefits: Take care of yourself and your family with U.S. Bank employee benefits. We know that healthy employees are happy employees, and we believe that work/life balance should be easy to achieve. That's why we share the cost of benefits and offer a variety of programs, resources and support you need to bring your full self to work and stay present and committed to the people who matter most - your family.
Learn all about U.S. Bank employee benefits, including tuition reimbursement, retirement plans and more, by visiting usbank.com/careers.
EEO is the Law Applicants can learn more about the company’s status as an equal opportunity employer by viewing the federal EEO is the Law poster.
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U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors.