Position:
Data Analyst
Company:
U.S. Bancorp India
Location:
Chennai, Tamil Nādu, India
Job type:
Full time
Job mode:
Onsite
Job requisition id:
2026-0014630
Years of experience:
0 to 3 Years
Company description
U.S. Bancorp India operates as an integral and highly critical extension of the broader U.S. Bank family, which proudly stands as the fifth-largest commercial bank in the United States, renowned for its financial stability and expansive operational footprint.
The organization is fundamentally driven by a core mission to assist millions of clients in achieving their most ambitious financial and operational goals, striking a delicate and highly effective balance between best-in-class, cutting-edge technology and tailored human expertise.
Built upon an unwavering foundation of strength, reliability, and market stability, the company has successfully cultivated a highly diversified mix of business operations that span across various critical sectors of the modern economy.
These diverse business segments comprehensively include commercial and institutional banking operations, specialized business banking services for growing enterprises, innovative payments solutions, comprehensive wealth management, and traditional consumer banking services.
The institution's unwavering commitment to ethical business practices and corporate integrity has been consistently recognized on a global scale, notably being named one of the World’s Most Ethical Companies® by the prestigious Ethisphere Institute.
Furthermore, the organization has achieved significant industry acclaim by being designated as the most admired superregional bank by Fortune, a testament to its operational excellence, visionary leadership, and sustained market performance.
Beyond its expansive network of thousands of physical branches that serve everyday consumers, U.S. Bank has meticulously developed a complete suite of highly specialized products, innovative financial services, and strategic industry partnerships designed specifically for the complex needs of modern businesses.
Within its sophisticated Wealth, Corporate, Commercial, and Institutional Banking division, the company takes immense pride in serving an extensive client base that exceeds half a million prominent entities distributed not just across the country, but actively around the world.
This elite client roster ranges from high-net-worth individuals and wealthy generational families to the largest and most influential multinational corporations, actively providing strategic financial services to an impressive 90% of all Fortune 1000 companies.
The organizational culture at U.S. Bancorp India is intentionally shaped to foster continuous innovation, emphasizing a workplace environment where employees feel entirely safe to speak up, proactively share groundbreaking ideas, and fearlessly experiment with new technological approaches.
The company's dedication to diversity, inclusion, and veteran support is deeply embedded in its corporate DNA, proudly holding the distinction of being recognized as a “Best for Vets” employer by the Military Times.
Additionally, the organization's comprehensive commitment to fostering a diverse workforce has earned it a coveted placement on Fair360’s highly respected list of the Top 50 Companies for Diversity, reflecting its inclusive hiring practices and equitable workplace policies.
Ultimately, a career within this esteemed organization provides professionals with an ever-growing, dynamic range of unique opportunities to discover what makes them thrive, allowing them to try new things, master emerging technologies, and excel from their very first day on the job.
Profile overview
This specialized role places you at the very heart of a highly dedicated, technologically advanced group that is explicitly tasked with the critical responsibility of supporting, extending, and thoroughly modernizing the organization's enterprise-grade financial reporting systems.
The primary focus of your daily operations will revolve around a highly sophisticated, metadata-driven financial reporting data integration platform, which serves as the central nervous system for the institution's regulatory and managerial financial data flows.
You will be immediately exposed to an operational environment characterized by massive scale and intense computational demands, currently managing data pipelines that ingest information from more than 80 distinct source applications across the banking network.
The sheer volume of data processed by this platform is staggering, with daily operations consistently handling and transforming in excess of 200 million individual rows of critical financial data per day, per application.
Currently, the architectural foundation of this high-volume processing environment is deeply rooted in complex Oracle PL/SQL technologies, requiring a meticulous approach to database engineering and large-scale transactional data management.
However, the role is not purely focused on legacy maintenance; it is heavily oriented toward future state architecture, positioning you as a key contributor to a massive, strategic technological transformation planned over the coming years.
Specifically, you will be instrumental in the preliminary analysis, architectural planning, and eventual execution of a comprehensive migration strategy moving these massive data workloads from on-premise Oracle systems to a modern, cloud-native AWS Databricks environment.
This transformative migration, targeted for extensive rollout throughout the year 2027, will require a deep paradigm shift from traditional SQL-based processing to modern distributed computing methodologies utilizing PySpark and Python.
Your day-to-day responsibilities will seamlessly blend the rigorous demands of maintaining absolute stability in the current production environment with the innovative thinking required to design scalable, future-proof cloud data pipelines.
The position requires an individual who thrives in a highly dynamic, problem-solving environment where the accuracy of financial data is paramount, and any discrepancy must be rapidly identified, thoroughly debugged, and permanently resolved.
You will serve as a critical bridge between traditional financial engineering and cutting-edge data science platforms, translating complex business logic deeply embedded in legacy systems into agile, modern codebases.
The role demands a unique hybrid professional who respects the stringent, zero-tolerance-for-error nature of financial reporting while actively embracing the rapid iteration and scalability offered by modern cloud infrastructure.
Ultimately, this profile offers a rare and highly valuable opportunity to gain deep, hands-on experience in both traditional enterprise data warehousing and next-generation cloud data lakes, making it a powerful catalyst for long-term career growth in the data engineering domain.
Qualifications
A foundational requirement for this position is a robust, demonstrated capability in Oracle PL/SQL engineering, serving as the critical baseline for understanding and managing the current state of the data integration platform.
Candidates must possess a deep, practical understanding of dynamic SQL execution, enabling them to write, analyze, and optimize queries that adapt to varying data structures and runtime conditions seamlessly.
Proficiency in advanced database management techniques is strictly required, specifically a thorough understanding of partitioned tables, including how to design, maintain, and query massively partitioned datasets to ensure optimal query execution times.
Exceptional performance tuning skills are absolutely mandatory; the candidate must be highly adept at reading complex execution plans, identifying hidden computational bottlenecks, and refactoring sprawling queries to execute efficiently against 200M+ row datasets.
The role necessitates a rigorous commitment to production discipline, requiring the candidate to architect and maintain data processes that are fundamentally restartable, ensuring that pipeline failures can be recovered gracefully without data duplication or loss.
Candidates must demonstrate a meticulous approach to parity validation, possessing the analytical acumen to mathematically and logically prove that transformed data exactly matches source systems, a critical requirement for regulatory financial reporting.
Comprehensive ops handoff documentation skills are essential, as the candidate must clearly articulate complex operational procedures, recovery steps, and system dependencies to dedicated production support teams.
Exceptional problem-solving capabilities form the core of this role; the candidate must exhibit an innate ability to independently validate complex data results, track anomalies through multiple layers of transformation, and debug deeply nested logic issues effectively.
While strong Oracle skills are the current baseline, beneficial disciplines that will highly distinguish a candidate include a demonstrable passion for or practical exposure to modern data engineering ecosystems.
Specifically, foundational knowledge or hands-on experience with the Databricks platform, distributed data processing via PySpark, and cloud object storage solutions like AWS S3 will be considered highly advantageous for the upcoming 2027 migration initiatives.
A significant differentiator for successful candidates will be their banking domain fluency, demonstrating an understanding of the specific mathematical and regulatory concepts that govern institutional financial data.
Familiarity with the underlying math and logic of Average Daily Balancing (ADB) is highly preferred, as this calculation is central to numerous financial reporting and interest accrual mechanisms.
An understanding of General Ledger (GL) structures, the distinction between corporate and managerial ledgers, and the precise mechanics of month-to-date accumulation processes will dramatically accelerate a candidate's onboarding and effectiveness.
Given the historical nature of banking systems, COBOL literacy is considered highly beneficial; specifically, the ability to read and deconstruct legacy mainframe programs (such as X7IC2x and X9AVGxx frameworks) to understand the original source logic being replicated in modern systems.
A deep, intuitive knowledge of varied banking products, including the nuanced behavior of interest accruals, split record processing, and complex transactional categorization, will greatly empower the candidate in their daily data validation tasks.
Finally, an emerging but highly critical skill for this specific role is the ability to strategically translate intricate, heavily nested Dynamic SQL logic into highly optimized, distributed Python and PySpark code, a capability that will become absolutely central as the AWS Databricks migration accelerates.
Additional info
The organization places a paramount emphasis on the holistic wellbeing of its employees and their families, recognizing that true professional success is intrinsically linked to personal health, happiness, and financial security.
To support this philosophy, the company offers a highly comprehensive and thoughtfully designed benefits package that extends far beyond basic compensation, encompassing a wide array of programs tailored to support physical health, mental wellness, and long-term financial stability.
Employees are provided with robust resources and structured pathways for continuous career growth, ensuring that professional development remains a constant priority and that team members are always equipped with the skills necessary to navigate the rapidly evolving technology landscape.
U.S. Bancorp India is deeply committed to fostering a genuinely inclusive workplace environment, operating strictly and proudly as an equal opportunity employer that values the unique perspectives and diverse backgrounds of every individual.
The company firmly maintains a zero-tolerance policy against discrimination, thoroughly considering all qualified applicants regardless of race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability status, veteran status, or any other legally protected characteristic.
For applicants who may require specialized assistance, the organization provides comprehensive disability accommodations throughout every single phase of the application, interviewing, and hiring process, ensuring an accessible and equitable experience for all candidates.
Due to the highly desirable nature of this role and the competitive landscape of the Chennai technology market, the company notes that this job posting may experience a very high volume of exceptional applicants.
Consequently, the talent acquisition team reserves the right to close the application window earlier than the anticipated posting end date of August 28, 2026, strongly encouraging interested and qualified candidates to submit their materials as swiftly as possible.
Prospective candidates should be fully aware that this specific role is officially aligned under the U.S. Bancorp India corporate structure, operating as a vital, fully integrated international component of the global U.S. Bank corporate family.
While the primary focus of this role is highly technical and data-centric, employees operate within a broader financial context; therefore, standard corporate disclosures regarding investment and insurance products (such as noting they are Not FDIC Insured, May lose value, and are Not Bank Guaranteed) are part of the overarching corporate compliance environment.
The application process is designed to be rigorous but transparent, requiring candidates to successfully navigate technical assessments focused heavily on SQL optimization, logical problem-solving, and potentially rudimentary Python/data engineering concepts.
Successful candidates will be joining an expansive network of over 10,001+ employees globally, gaining immediate access to a vast internal repository of technical knowledge, mentorship opportunities, and a thriving community of world-class financial technology professionals.
Ultimately, accepting a position at U.S. Bancorp India means committing to a culture of absolute excellence, where the complex challenges of modernizing global banking infrastructure are met daily with collaborative ingenuity, relentless dedication, and a shared ambition to define the future of financial data engineering.
Please click here to apply.
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