Data and Solutions Engineer

U.S. Bank National Association • Minneapolis, MN

22d • Onsite

About The Position

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.

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

Responsibilities

• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees