Data Analytics Engineer

U.S. Bank; Irving (TX); On-site; USD 112,000 - 131,000; Full time

Job summary

U.S. Bank is seeking an Infrastructure Data Analytics Engineer to acquire, transform, and analyze data from infrastructure, platform, cloud, and enterprise systems to support technology strategy, operational excellence, risk management, and executive decision making.

The ideal candidate will leverage SQL, Python, Alteryx, API integrations, and data transformation to build scalable ETL/ELT pipelines, implement automated workflows, and maintain analytics assets within a governed SDLC environment.

Qualifications

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

Responsibilities

• Acquire, transform, integrate, and analyze data from infrastructure, platform, cloud, and enterprise technology systems.
• Build and maintain scalable ETL/ELT pipelines to acquire, cleanse, transform, validate, and enrich data.
• Design and maintain Power BI dashboards for infrastructure-adjacent metrics and KPI reporting.
• Follow SDLC/DevOps practices, including source control, testing, deployment, and release management.
• Collaborate with infrastructure, engineering, operations, and leadership to enable data-driven decisions.
• Ensure data governance, security, and regulatory compliance across analytics assets.

Skills

SQL (Advanced)

Python

Alteryx

Power BI

Excel

Education

Bachelor's degree in a related field

Tools

GitHub

GitLab

Azure DevOps

Job description

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.

• The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This role combines data engineering, analytics, automation, and operational intelligence to provide actionable insights that support technology strategy, operational excellence, risk management, and executive decision making.
• The ideal candidate possesses strong technical skills in SQL, Python, Alteryx, API integration, and data transformation while adhering to software development lifecycle (SDLC) practices, including source code management, testing, deployment, and release management.

Key Responsibilities

Data Acquisition & Integration

• Design and develop data ingestion processes from multiple sources, including:
• Infrastructure monitoring platforms
• CMDB and asset management systems
• REST and GraphQL APIs
• SaaS and third-party technology platforms
• Build and maintain scalable ETL/ELT pipelines to acquire, cleanse, transform, validate, and enrich data.
• Integrate structured and unstructured data from disparate technology systems into centralized analytics platforms.
• Automate recurring data collection and processing activities.
• Develop complex SQL queries, stored procedures, views, and data models.
• Create Python-based solutions for:
• Data transformation
• API integrations
• Design and maintain Alteryx workflows for data preparation, blending, and analytics automation.
• Implement reusable transformation frameworks and standardized data processing patterns.
• Perform data reconciliation and data quality assurance activities.

Analytics & Reporting

• Analyze infrastructure and operational data to identify:
• Trends
• Risks
• Performance issues
• Capacity constraints
• Optimization opportunities
• Support executive reporting, operational scorecards, and KPI dashboards.
• Translate technical findings into business-friendly recommendations and insights.
• Partner with infrastructure, engineering, operations, and leadership teams to support data-driven decision making.

Automation & API Development

• Develop API integrations between internal and external platforms.
• Build automated workflows that reduce manual effort and improve data timeliness.
• Support near real-time and batch data processing requirements.
• Create reusable libraries and utilities that accelerate analytics delivery.

SDLC, DevOps & Release Management

• Follow established Software Development Lifecycle (SDLC) methodologies including Agile delivery practices.
• Maintain source code in approved repositories (GitHub, GitLab, Azure DevOps, etc.).
• Utilize branching, pull request, peer review, and merging standards.
• Develop and maintain CI/CD deployment pipelines.
• Create and maintain technical documentation, runbooks, and deployment procedures.
• Participate in release planning, change management, testing, and production deployments.
• Ensure appropriate version control, auditability, and governance of analytics assets and code.
• Support incident management and post-release validation activities.

Governance & Compliance

• Ensure adherence to enterprise data governance, security, and compliance requirements.
• Maintain data lineage and metadata documentation.
• Implement controls for data quality, access management, and operational resiliency.
• Support regulatory and audit requests related to analytics solutions.

Basic Qualifications

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

Preferred Qualifications

• Experience analyzing infrastructure, cloud, or operational technology data.
• Experience with Power BI, Tableau, or similar visualization platforms.
• Experience with Azure, AWS, Databricks, Snowflake, or enterprise data platforms.
• Knowledge of Infrastructure Observability and Monitoring platforms (Datadog, Splunk, Dynatrace, ServiceNow, etc.).
• Experience with CI/CD tools and release automation.
• Understanding of data governance, metadata management, and data quality frameworks.
• Experience supporting enterprise-scale transformation or modernization programs.

Technical Skills

• Programming & Analytics
• SQL (Advanced)
• Python
• Alteryx
• Power BI
• Excel

Data & Integration

• REST APIs
• JSON / XML
• ETL / ELT
• Data Modeling
• Data Quality Management

DevOps & SDLC

• Version Control
• Release Management
• Test Automation

Infrastructure Knowledge (Preferred)

• AWS
• Windows Server
• CMDB / Asset Management
• Infrastructure Monitoring Platforms

This position is not eligible for visa sponsorship

• This role requires working from a U.S. Bank location three (3) or more days per week.
• Additional Job Description
• Additional Job Description
• This role applies deep familiarity with infrastructure and platform ecosystems to accurately interpret system behavior and translate complex technical signals into clear, actionable analytics and Power BI insights that support operational awareness and technology strategy.
• The position supports Technology teams with the design, planning and operational analytics under Enterprise Infrastructure by acquiring, integrating, and analyzing data from infrastructure‑adjacent, platform, and enterprise systems across cloud, hybrid, and on‑premises banking environments.
• Core Responsibilities
• Apply prior infrastructure engineering experience to accurately interpret platform, service‑level, and operational data
• Analyze complex data from enterprise and infrastructure‑adjacent sources to identify trends, risks, opportunities, and actionable insights
• Lead and contribute to large‑scale data and analytics initiatives by acquiring, integrating, and analyzing data across multiple systems
• Design, build, and maintain Power BI dashboards that provide visibility into infrastructure‑adjacent metrics, service health, and platform usage
• Translate complex technical and operational data into clear, management‑ready insights and recommendations
• Collaborate with systems engineers, cloud teams, data engineers, analysts, and business partners to deliver a holistic view of technology performance
• Monitor outcomes of implemented recommendations and provide follow‑up analysis and data‑driven adjustments
• Identify patterns or anomalies that may indicate infrastructure, platform, or data pipeline issues, and partner with responsible teams to investigate
• Ensure all data acquisition, analysis, and reporting comply with enterprise security, governance, and regulatory standards

Basic Qualifications

• Bachelor’s degree in a technology‑related or quantitative field, or equivalent work experience
• Eight or more years of experience in infrastructure or platform engineering roles, with advanced experience applying data analytics, platform analytics, and business intelligence to support technology and enterprise decision‑making

Other Locations

St. Paul, MN

Atlanta, GA

Chicago, IL

Charlotte, NC

St. Louis, MO

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.

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: $111,605.00 - $131,300.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.