Data Integration Analyst

Do you want your voice heard and your actions to count?

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.

With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.

Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.

The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.

Job Summary:

The HR Technology Data Integration Analyst designs, builds, and supports production ETL/data integration solutions that move and validate enterprise HR and adjacent business data. The role partners with stakeholders to translate needs into data requirements, troubleshoot integration and data-quality issues, and maintain runbooks and technical documentation while supporting security, compliance, and vendor/AI evaluations.

Key Responsibilities

* Demonstrate a strong interest in enterprise business data and processes-preferably across HR, Corporate Communications, Legal, Project Portfolio Management, and Compliance-by asking thoughtful questions to understand business needs and translating them into clear data and technology requirements.

* Design, develop, and support ETL and data integration solutions in a production environment, including batch scheduling, monitoring, and incident response.

* Perform data validation and reconciliation using SQL; analyze data quality issues and partner with upstream and downstream teams to resolve source‑to‑target discrepancies.

* Create and maintain knowledge articles, operating standards, runbooks, and technical documentation to support ongoing operations, audits, and compliance reviews.

* Translate technical and architectural concepts into clear, concise updates and materials for internal business and technology stakeholders.

* Troubleshoot application, integration, and data issues; perform root‑cause analysis; and coordinate resolution with internal teams and external vendors.

* Coordinate work across U.S.‑ and India‑based partners (such as service desk, engineering, and vendor support teams), tracking progress, risks, dependencies, and delivery milestones.

* Support SaaS vendor evaluations and demonstrations by gathering requirements, documenting findings, and assisting with fit‑gap analysis across business needs, technology capabilities, security posture, and compliance requirements.

* Assist with build‑versus‑buy analysis by documenting requirements and supporting proof‑of‑concept efforts to replace select vendor‑hosted (SaaS) capabilities with in‑house solutions, under guidance from senior engineers.

* Contribute to internal data and workflow tools by writing and maintaining code, unit tests, and documentation using Git Hub and Git Hub Copilot, following established development patterns, peer‑review processes, and secure coding standards.

* Support the responsible adoption of AI‑enabled solutions by documenting use cases, assisting with governance requirements, and helping evaluate opportunities to improve business and technology processes.

* Assist in assessing AI capabilities within existing applications compared to enterprise‑provided Microsoft Copilot capabilities; document vendor security controls and guardrails, and escalate potential risks for appropriate review.

* Required Skills & Experience

* 1-2 years of experience in the financial services industry (preferred).

* Experience as an ETL Analyst with hands‑on exposure to ETL development, Python scripting, and relational databases.

* Solid understanding of data warehousing and ETL concepts, including fact and dimension…