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Data Analyst Statistical Analysis & Modeling Customer Service Center
Company | U.S. Bank National Association |
Address | , Remote |
Employment type | FULL_TIME |
Salary | $81,345 - $105,270 a year |
Expires | 2023-06-28 |
Posted at | 11 months ago |
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.
SUMMARY
U.S. Bank’s Customer Service Center has an opportunity for a Data Analyst/Scientist for the 24-Hour Banking, Relationship Banking and Card Services business lines. This position will conduct statistical analysis and develop and sustain predictive models in support of improved customer experience, operations transformation and reduced operating expenses.
The ideal candidate for this opportunity would have:
- Customer contact center or related business line experience.
- A solid working knowledge of customer contact center metrics and their inter-dependent relationships.
- Formal data science experience and education in a data science-related field.
- The ability to know and understand the business lines they support and take measures to stay relevant as technology and procedures change.
- The ability to be collaborative, have strong communication skills and work independently which is crucial to success in this position.
- A knack for research and connecting patterns found in data to root cause based on people, process, and product-related causes.
- The ability to be self-motivating and work collaboratively and independently from a home-based environment.
- A genuine curiosity and is committed to problem solving.
RESPONSIBILITIES
Responsible for analytics projects that gather and integrate large volumes of data from multiple sources. Identifies, analyzes and interprets trends or patterns in complex data to provide answers to business questions as well as provide recommendations for action. Interprets data and analyzes results using various advanced statistical techniques and tools. Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations and make data driven decisions. Specializes in developing and programming methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to perform analysis and generate insights and solutions for client services and product enhancement. Creates and maintains statistical models as well as implements and validates predictive models leveraging big data sources. Collaborates with various partners to prioritize requests/needs and 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.
REQUIRED
- Bachelor's degree in a quantitative field such as statistics, computer science, engineering or applied mathematics, or equivalent work experience.
- Two to four years of relevant experience.
PREFERRED
- Understanding of machine learning techniques and algorithms.
- Effective interpersonal, verbal and written communication skills.
- Experience in Python, SAS or SQL for data extraction, data mining, and predictive analytics.
- Demonstrated project management skills.
- Strong analytic skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets.
- Experience in analytics, advanced analytics/statistics, predictive modeling, machine learning, data visualization.
If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
Benefits:
Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):
- Short-term and long-term disability
- Pregnancy disability and parental leave
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
- 401(k) and employer-funded retirement plan
- Healthcare (medical, dental, vision)
- Adoption assistance
- Basic term and optional term life insurance
- Up to 11 paid holiday opportunities
- Paid vacation (from two to five weeks depending on salary grade and tenure)
EEO is the Law
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.
E-Verify
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, US Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401k contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $81,345.00 - $95,700.00 - $105,270.00U.S. Bank will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.-
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