Data and Solutions 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

An expert professional that works independently and can assist other professionals. This position works with teams across EACX (Enterprise Analytics and Customer Experience) to help migrate analytics use cases to cloud.  The role will be providing expertise and consultation on cloud tools, solutions, best practices and patterns that can be used for each situation and help with governance of the cloud solutions. 

This position will be consulting with users to help build solutions that use Python, SQL, Databricks, Snowflake, Azure Synapse, Azure Data Factory, ETL/ ELT and Azure ML.  The current use cases are on prem and need to migrate include data mining, data auditing, aggregation, validation and reconciliation and use tools like SAS, Alteryx, Power Bi.  

In addition to familiarity with the tools and understanding of the workflows in Marketing departments as well as a deep understanding of Banking data will be helpful to be successful in this role.  This position typically requires an individual with a degree and 5+ years of statistics or analytics experience.

The person in this role will spend about 70% of their time collaborating with teams across EACX and developing a deep understanding of their data and business needs to support their migration efforts to the cloud as well as clearing roadblocks or assisting with development of best practices and preferred patterns to ensure project success.  About 30% of the time would be in development and monitoring of governance/ data quality efforts to ensure success in the shared cloud environments.  

This role will also play an active role with data engineers, analysts, and business line product owners in the business line ensuring the critical data is available and reliable in the proper platforms with clear SLAs. 

Key deliverables for the role are:

• Developing and sharing expertise on how to solve using the cloud tools that have been selected for each project.

• Developing materials and advising stakeholders on setup, training, best practices, documentation, meta data, as well as getting access to necessary tools/information to execute.

• Removing technical roadblocks for stakeholders to successfully execute cloud migration.

• Participate in the buildout of the reporting and technology infrastructure required to support the governance of the end products and solutions.

• Play an active role with TOS engineers to ensure critical data is available, with quality in the proper platforms with clear SLAs.

• Basic Qualifications
  - Bachelor's degree in a related field, or equivalent work experience
  - Five to seven years of statistical and/or data analytics experience

Requirements:

• BA/BS in Math, Statistics, Economics, Finance, Computer Science or equivalent work experience

• Experience with programming languages & tools such as Python, SQL, Databricks, Snowflake, ADF, Azure Synapse, Azure ML

• Familiarity with SAS, Alteryx, PowerBi, Marketing workflows as well as banking datasets will be necessary to support the user community

• 5 plus years relevant experience in analysis, reporting and data visualization

• Experience with at least 1 modern visualization tool (ex. PowerBI, Tableau, Microstratetgy 10, Domo)

• Experience leveraging tools for basic last mile ETL and data wrangling

• Knowledge of data quality

• Experience with standard relational databases (DB2, Postgres, Greenplum, SQL Server, Azure)

• Experience with GitHub.

• Strong communication skills to support business consulting and collaboration with business partners

• Strong problem solving and analytical skills

• Experience working in an agile environment

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