Data Solutions & Enablement Consultant

This analytics consulting role is a critical partner to EACX teams as they transition analytics use cases from legacy on-premises tools to modern, cloud-based platforms. Acting as both a consultant and enabler, the role provides hands-on guidance, practical execution support, and clear standards to help teams confidently adopt cloud analytics capabilities.

You will collaborate closely with analysts, data engineers, technology partners, and business product owners to understand business objectives, unblock migration challenges, and ensure that high-value data assets are accessible, reliable, and governed with defined service expectations. Success in this role means accelerating migration outcomes while raising the bar on how analytics solutions are built and sustained in the cloud.

Approximately 70% of the role is dedicated to stakeholder engagement, enablement, and migration execution, with the remaining 30% focused on strengthening governance capabilities such as source control, data quality, observability, and scalable development practices.

- Guide teams in designing cloud-based analytics solutions, including tool selection, architecture decisions, and implementation best practices. - Support the migration of data mining, auditing, aggregation, validation, ETL/ELT, reconciliation, reporting, and visualization use cases. - Build and deliver enablement artifacts, including documentation, metadata standards, training materials, and access guidance. - Proactively identify and remove technical roadblocks to keep migrations moving forward. - Partner with technology teams to ensure critical data assets are well-managed, reliable, and supported by clear SLAs. - Contribute to and evolve governance practices for multi-tenant cloud environments, including source control, data quality, and observability.

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

- Degree or equivalent experience in Data Analytics, Business Analytics, Math, Statistics, Economics, Finance, or Computer Science. - Strong communication, consulting, problem-solving, and analytical skills. - Experience working in agile environments. - Experience with Python, SQL, Spark, Databricks, Snowflake, Azure Synapse, Azure Data Factory, or Azure ML. - Familiarity with SAS, Alteryx, Power BI, Tableau, marketing workflows, and banking data. - Knowledge of data quality, observability, metadata, and governance practices. - Experience with relational databases such as DB2, Postgres, Greenplum, SQL Server, or Azure databases. - Experience with GitLab or GitHub. -

The role offers a hybrid/flexible 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.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S.

Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $119,765.00 - $140,900.00