Goldman Sachs is looking for the position of Analyst – Data Analytics in Bengaluru, India. Candidates with Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | Goldman Sachs |
| Position | Analyst – Data Analytics |
| Qualifications | Bachelor’s/ Master’s Degree |
| Batch | 2019/ 2020/ 2021/ 2022/ 2023/ 2024 |
| Experience | 1 – 3 (Years) |
| Location | Bengaluru, India |
Key Responsibilities:
- Manage and oversee trading and lending data for Mortgages and Structured Products, including data pipeline development, database management, validation, and quality control.
- Automate processes and workflows to eliminate redundancies, minimize manual interventions, and enhance operational efficiency across trading and lending platforms.
- Develop strategic reporting solutions for trading desks and asset management teams across relevant products and asset classes.
- Ensure the accuracy, completeness, and seamless end-to-end flow of data by collaborating with Trading Desks, Asset Management, Engineering, and Strats to understand business needs and define strategic data models and systems.
- Coordinate with Controllers, Compliance, Risk, and other divisions to support regulatory and business-critical reporting using automated toolkits.
- Translate business requirements into clear solution specifications and deliver high-quality outputs within defined timelines.
- Manage project timelines and ensure timely completion of deliverables related to analytics, automation, and reporting.
- Investigate and reconcile data discrepancies by performing data reconciliations between external vendors and internal databases using analytics and research techniques.
Eligibility Criteria:
- 1–3 years of experience in data analysis, data modeling, working with RDBMS databases, and ETL processes.
- Strong academic background with a 4-year engineering degree and a minimum GPA equivalent of 3.0.
- Experience with at least one programming language, such as Java or Python, is preferred.
- Proficient in SQL and capable of working with structured data.
- Familiarity with industry-standard data transformation and reporting tools such as Tableau, QlikView, Qlik Sense, Alteryx, and RapidMiner.
- Strong analytical and logical thinking skills with great attention to detail.
- Excellent communication skills—clear, concise, and confident—with the ability to manage internal and external stakeholder relationships.
- Team-oriented mindset with a high level of ownership and accountability.
- Proficiency in Microsoft Excel or the ability to learn and use it at an advanced level.
- Ability to prioritize tasks and collaborate with technology teams to develop data-driven solutions.
Preferred skills:
- Knowledge or experience in Machine Learning is preferred.
- Understanding of databases, data models, and ETL processes is a plus.
- Experience in mortgage banking or other financial industry sectors.
- Familiarity with structured finance, collateralized lending, fixed income, or related financial modeling concepts.
About Company:
At Goldman Sachs, we believe progress is everyone’s business. That’s why we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, Goldman Sachs is a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices in all major financial centers around the world.
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