U.S. Bank Enterprise Data Governance Data Quality Analyst in MINNEAPOLIS, Minnesota
US Bank is looking for a successful Data Quality Analyst to support our Enterprise Data Governance (EDG) initiatives focused on our team's capabilities around data discovery, data enrichment, data quality and data analytics. The project work encompasses Data Analysis, Data Quality, Cloud Migration, Digital Transformation and Regulatory efforts. This role will collaborate with the business line and technology to identify, measure, analyze and remediate data quality problems through data analysis and information processing of large datasets. This role will report to the Director of Data Quality, Metadata and Authorized Data Sources and partners closely with business, risk, and technology teams to deliver meaningful data solutions to support enterprise and local priorities.
US Bank’s Chief Data Officer drives our data governance as an institutional set of practices and capabilities to ensure we have high quality information for making management decisions, enabling corporate strategies and meeting regulatory expectations.
We are looking for people who are passionate about data. It is a great opportunity for people who like to influence change at the enterprise level and to be more of an entrepreneur building and defining capabilities.
Primary responsibilities include:
• Effectively work in matrixed team of Data Quality Analysts/Data Scientists in support of the development and delivery of the EDG's capabilities to address a specific business and/or regulatory need.
• Research and build a detailed understanding of the problem and related data assets in order to code the data processing and analysis.
• Light development coding.
• Ensure that the data used follows the compliance, access management and control policies of the company while meeting the data governance requirements of the business.
• Work with technical groups to support the collection, integration and retention of the data sources.
• Apply data visualization and summarization techniques to the analytical results.
• Interpret and communicate the results in a manner that is understood by the business.
Bachelor's degree, or equivalent work experience
Seven to ten years of applicable experience
Bachelor's or Master’s Degree in Mathematics, Engineering, Computer Science or equivalent work experience.
7 years related technical experience and 5 years analytical experience in the Banking/Financial industry or similar highly regulated industry.
Proficiency with a statistical programming language such as R and SAS.
Proficiency with Python, and SQL programming languages.
Intermediate knowledge of public cloud platforms.
Intermediate knowledge of application coding and development lifecycle.
Intermediate proficiency with Apache Spark, and/or Power Apps and Power Automate (MS Flow).
Analytical: (e.g. comfortable with data) and can combine an understanding of business objectives, customer needs, and data required to deliver customer experience and business results.
Intermediate knowledge of data governance, data management, data architecture, data modelling concepts and data governance tooling and the complexities of data in a large financial and/or highly regulated institution.
Willingness to continuously develop and acquire new technical skills, learn new tools & programming languages and Big Data techniques.
Proven ability to adjust quickly to shifting priorities, multiple demands, ambiguity and rapid change.
Effective oral and written communication with the ability for analyzing, slicing and dicing data while deriving significant insights.
Natural curiosity and self-directed ability to seek out information and meet goals/deadlines.
Agile experience: Very comfortable following Agile Scrum methodology.
Primary Location: Minnesota-MN-Minneapolis
Shift: 1st - Daytime
Average Hours Per Week: 40
Requisition ID: 200013753
Other Locations: North Carolina-NC-Charlotte, United States
U.S. Bank is an Equal Opportunity Employer committed to creating a diverse workforce.
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.