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 pipelines, database management, validation, and quality control processes.
- Automate processes and workflows to eliminate redundancies, minimize manual interventions, and enhance efficiency across the firm’s trading and lending platforms.
- Develop and deliver strategic reporting solutions for trading desks and asset management teams across multiple products and asset classes.
- Ensure end-to-end data flow, accuracy, and completeness by collaborating with Trading Desks, Asset Management, Engineering, and Strats to define business requirements and design strategic data models and systems.
- Coordinate with Controllers, Compliance, Risk, and other divisions to support regulatory and business-critical reporting through automated reporting toolkits.
- Translate complex business requirements into clear, actionable solution specifications and ensure high-quality, timely deliverables.
- Oversee project timelines and ensure the successful completion of analytics, automation, and reporting initiatives.
- Identify and resolve data discrepancies by performing reconciliations and analytical reviews between external vendor data and internal databases.
Eligibility Criteria:
- 1–3 years of experience in data analysis, data modeling, relational databases (RDBMS), and ETL processes.
- Strong academic background with a four-year engineering degree or related field, and a minimum GPA equivalent of 3.0.
- Proficiency in at least one programming language such as Java or Python (preferred).
- Strong knowledge of SQL and experience working with structured data.
- Familiarity with industry-standard data transformation and reporting tools such as Tableau, QlikView, Qlik Sense, Alteryx, or RapidMiner.
- Excellent analytical and logical thinking skills with strong attention to detail.
- Effective communication skills—clear, concise, and confident—with the ability to manage both internal and external relationships.
- Team-oriented mindset with a strong sense of ownership, accountability, and collaboration.
- Proficiency in Microsoft Excel, with the ability or willingness to learn advanced-level functionalities.
- Strong ability to prioritize tasks and collaborate with technology teams to develop data-driven solutions.
Preferred Skills:
- Knowledge or experience in Machine Learning concepts and applications.
- Understanding of database structures, data models, and ETL (Extraction, Transformation, Load) processes.
- Experience in mortgage banking or other areas of the financial industry.
- Familiarity with structured finance, collateralized lending, fixed income products, 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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