Data Product Engineer

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

Works closely with clients to understand and support their needs with the objective being to build and refine robust data assets into data products through continuous improvement and strong partnership with end users. To achieve this objective, accesses multiple data sources and builds data pipelines that deliver actionable insights. Provides recommendations by interpreting data and analyzing results using various analytics techniques and tools. Presents insights in a clear and concise manner enabling data driven decisions. Collaborates with various partners to build a holistic understanding of the data. Creates supporting documentation and knowledge articles to inform and onboard end users. Measures and monitors data product value, usage, and integrity.

Basic Qualifications

-Bachelor's degree in a related field, or equivalent work experience
- Six to eight years of statistical and/or data analytics experience

Preferred Skills, Experience

• 10+ years of data analytics or engineering experience

• Experienced with a variety of data engineering and analytics tools (SQL, Python, Excel, etc.)

• Experienced with data and code change management

• Experienced with cloud tools and environments, such as AWS and Azure

• Highly skilled in querying and processing data from source to target

• Highly skilled in automating data workflows, functions, procedures, triggers, etc.

• Highly skilled in analyzing data and advanced analytics/statistical methods

• Strong analytic skills with the ability to analyze and interpret complex data sets

• Strong interpersonal, verbal, written communication skills

• Adopts and promotes agile development and product thinking

Team Expectations and Behaviors

• Accountability, reliability, and transparency

• Leads, participates, and contributes productively during team meetings

• Available online or in-office to support team and clients during work hours

• Leads support of team processes and products off hours when needed (infrequent)

• Discovers to end user experiences and requests

• Shares and promotes ideas with larger team

• Highly motivated to build data products and solutions

INDMO

The role offers a hub schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days

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):

• 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

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

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