Cloud Data Analyst: Modernize Analytics & Data Pipelines

Jobtailor

Illinois

On-site

USD 120,000 - 150,000

Full time

2 days ago

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Job summary

U.S. Bank, Illinois, seeks an experienced analytics engineer to drive cloud-native analytics modernization.

You will provide technical guidance on Python, SQL, Databricks, Snowflake, Azure Synapse, and Azure Data Factory, and socialize architecture patterns, coding standards, and governance practices. You will partner with analytics and business stakeholders to migrate workloads from legacy platforms to cloud-based solutions, lead discovery sessions, and ensure data quality, lineage, and

Qualifications

Bachelor's degree in computer science or related field, or equivalent work experience.
Six or more years of experience in application development.
Experience supporting cloud migration and analytics modernization programs.
Experience working in Agile delivery environments and CI/CD frameworks.
Familiarity with Tableau, Power BI, marketing workflows, and banking data domains.
Experience troubleshooting data pipelines, production issues, and platform support incidents.
Experience with GitHub, GitLab, DevOps, and source code management practices.
Understanding of Marketing Data Platforms, campaign execution processes, customer analytics, and enterprise data governance.
This role requires working from a U.S. Bank location three (3) or more days per week.
This position is not eligible for visa sponsorship.

Responsibilities

Provide technical guidance and consultation on Python, SQL, Databricks, Snowflake, Azure Synapse, Azure Data Factory, and other cloud-native technologies
Define and socialize cloud architecture patterns, coding standards, development frameworks, and governance practices
Assist stakeholders with environment setup, onboarding, documentation, metadata management, training materials, and access requirements
Partner with analytics, marketing, and business stakeholders to migrate data mining, auditing, data quality, aggregation, ETL/ELT, reconciliation, reporting, and visualization workloads from legacy platforms to cloud-based solutions
Act as a liaison between business users, product owners, analytics teams, and technology partners
Conduct discovery sessions to understand business objectives, data needs, dependencies, risks, and migration readiness
Lead root cause analysis and troubleshooting for analytics and data platform production issues
Investigate data quality concerns, pipeline failures, reconciliation discrepancies, performance bottlenecks, and reporting issues with engineering teams
Coordinate resolution of data availability and system integration issues impacting marketing and analytics workloads
Establish monitoring, alerting, incident management, and operational support processes
Track production defects, enhancement requests, and remediation activities while providing stakeholder communication and status updates
Contribute to governance frameworks for cloud-based analytics solutions in multi-tenant environments
Develop and monitor controls for source code management, data quality, data validation, reconciliation, and observability
Support data lineage, metadata, and governance capabilities using enterprise data management tools
Ensure critical datasets are available, reliable, and accessible
Support marketing data workflows, customer analytics initiatives, audience management processes, and campaign enablement requirements
Provide subject matter expertise on banking datasets, analytics platforms, and enterprise data ecosystems
Drive adoption of best practices for analytics engineering, reusable assets, and cloud-native development