# Data Analytics

Source: https://realanalystjobs.com/job/data-analytics-u-s-bank-b4f2fa96
Data Analytics at U.S. Bank, an on-site role based in Chennai, India. Experience level: 5 Years. Posted on 15 October 2026, read from U.S. Bank's own careers page (Workday), which RealAnalystJobs re-checks daily and removes the role when it closes.

Updated 15 November 2026.

## Key facts

- Company: [U.S. Bank](https://realanalystjobs.com/companies/u-s-bank)
- Location: Chennai, India
- Work mode: On-site
- Posted: Oct 15, 2026
- Employment type: Full time
- Experience level: 5 Years
- Source: U.S. Bank's careers page (Workday), re-checked daily

Skills: [SQL](https://realanalystjobs.com/skills/sql), Snowflake

## Visa sponsorship

The posting does not say.

U.S. Bank had H-1B petitions approved for 538 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/u-s-bank#h1b-record)

## About this role

At U.S. Bancorp India, we’re on a journey to do our best. 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. Bancorp India 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

Roles and Responsibilities:

Design, develop, deploy, and support custom React applications within Domo.

• Build applications that interact with Domo datasets, Collections, APIs, Workflows, and other platform services.

• Develop and maintain scalable Magic ETL dataflows supporting analytical and operational applications.

• Design complex transformations, joins, aggregations, business rules, and data-quality processes.

• Optimize existing ETL pipelines for performance, scalability, reliability, and maintainability.

• Design and implement Domo Workflows to automate business processes, approvals, notifications, system actions, and data-driven decisions.

• Build and maintain solutions utilizing Domo Collections for application and workflow use cases.

• Work extensively with JSON, including nested objects, arrays, payload construction, parsing, transformations, and API request/response structures.

• Develop and maintain REST API integrations between Domo and external enterprise systems.

• Develop advanced SQL queries supporting data transformation, analysis, validation, and troubleshooting.

• Create and maintain Domo datasets, DataFlows, Beast Modes, cards, dashboards, alerts, and related platform assets.

• Troubleshoot complex issues across React applications, APIs, Workflows, Collections, ETL pipelines, and datasets.

• Perform root-cause analysis of production issues and implement sustainable solutions rather than temporary fixes.

• Participate in code reviews, testing, deployment, release management, and production support.

• Establish and follow development standards for reusable code, naming conventions, documentation, testing, and deployment.

• Translate complex business requirements into scalable technical solutions.

• Partner with business analysts, data engineers, developers, product teams, and business stakeholders.

• Provide technical guidance and mentorship to less-experienced Domo analysts when appropriate.

Domo Platform (Preferred)

Magic ETL • Workflows • Collections • Datasets • DataFlows • Beast Modes • Cards • Dashboards • APIs • Custom Applications

Application Development

React • JavaScript/TypeScript • HTML • CSS • JSON

Data & Integration

SQL • REST APIs • JSON Payloads • ETL/ELT • Data Modeling • Data Quality • System Integration

Engineering Practices

Git • Source Control • Testing • Debugging • Deployment • Documentation • Production Support

Skills:

• 3 - 5 years of hands-on experience in any analytical tools.

• Extensive experience developing and deploying React applications within the Domo ecosystem.

• Strong proficiency with React and JavaScript/TypeScript.

• Advanced hands-on experience with Domo Magic ETL.

• Hands-on experience designing and implementing Domo Workflows.

• Strong experience developing solutions utilizing Domo Collections.

• Advanced understanding of JSON, including nested structures, arrays, serialization, parsing, and payload manipulation.

• Experience developing and consuming REST APIs.

• Strong SQL skills, including Complex joins, CTEs, Window functions, Aggregations, Conditional logic, Data transformations and Query optimization

• Strong understanding of ETL/ELT architecture, data modeling, and data-quality principles.

• Experience working with Domo datasets, DataFlows, Beast Modes, cards, dashboards, and platform services.

• Strong debugging and troubleshooting capabilities across front-end applications, APIs, workflows, and data pipelines.

• Experience supporting enterprise applications and data solutions in production environments.

Preferred Qualifications

• Experience using Domo as an application development and operational platform, not exclusively as a visualization tool.

• Experience with Domo App Studio and custom application development.

• Experience with Git or similar source-control platforms.

• Experience working within formal development, testing, and production deployment processes.

• Experience integrating Domo with enterprise APIs, cloud databases, and third-party platforms.

• Familiarity with CI/CD and modern software-development practices.

• Experience with Snowflake or comparable cloud data platforms.

• Experience supporting large-scale or high-volume datasets.

• Experience within financial services, banking, healthcare, insurance, or another regulated enterprise environment.

Job Description:

• Design, develop, deploy, and support custom React applications within Domo.

• Build applications that interact with Domo datasets, Collections, APIs, Workflows, and other platform services.

• Develop and maintain scalable Magic ETL dataflows supporting analytical and operational applications.

• Design complex transformations, joins, aggregations, business rules, and data-quality processes.

• Optimize existing ETL pipelines for performance, scalability, reliability, and maintainability.

• Design and implement Domo Workflows to automate business processes, approvals, notifications, system actions, and data-driven decisions.

• Build and maintain solutions utilizing Domo Collections for application and workflow use cases.

• Work extensively with JSON, including nested objects, arrays, payload construction, parsing, transformations, and API request/response structures.

• Develop and maintain REST API integrations between Domo and external enterprise systems.

• Develop advanced SQL queries supporting data transformation, analysis, validation, and troubleshooting.

• Create and maintain Domo datasets, DataFlows, Beast Modes, cards, dashboards, alerts, and related platform

Description from U.S. Bank's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you.

## How to apply

Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/data-analytics-u-s-bank-b4f2fa96) and use Apply now there to reach the employer's application. The listing is re-checked against U.S. Bank's careers page daily and removed when it closes.

## U.S. Bank

44 open analyst roles on Real Analyst Jobs. [More roles at U.S. Bank](https://realanalystjobs.com/companies/u-s-bank)

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## Sources and links

- [This role on Real Analyst Jobs](https://realanalystjobs.com/job/data-analytics-u-s-bank-b4f2fa96)
- [U.S. Bank on Real Analyst Jobs](https://realanalystjobs.com/companies/u-s-bank)
- [All analyst jobs](https://realanalystjobs.com/jobs)
