At U.S. Bank, the business problem is to build and refine robust data assets into data products through continuous improvement and strong partnership with end users, enabling customers and businesses to make better and smarter financial decisions.
Requirements
- 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
Responsibilities
- Works closely with clients to understand and support their needs with the objective being to build and refine robust data assets into data products
- 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
Other
- Bachelor's degree in a related field, or equivalent work experience
- Six to eight years of statistical and/or data analytics experience
- Strong interpersonal, verbal, written communication skills
- Accountability, reliability, and transparency
- Available online or in-office to support team and clients during work hours
