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.
- Automate processes and workflows to eliminate redundancies, reduce manual interventions, and improve efficiency for the firm’s trading and lending platforms.
- Develop strategic reports for trading desks and asset management across relevant products and asset classes.
- Ensure the end-to-end flow, accuracy, and completeness of data by partnering with Trading Desks, Asset Management, Engineering, and Strats to understand business requirements and define strategic data models and systems.
- Liaise with Controllers, Compliance, Risk, and other divisions to support regulatory and business-critical reporting through automated toolkits.
- Translate business requirements into tangible solution specifications and deliver high-quality outputs on time.
- Manage project timelines and ensure the completion of committed analytics, automation, and reporting initiatives.
- Reconcile data discrepancies and perform data reconciliations between external vendors and internal databases through detailed analytics and research.
Eligibility Criteria:
- Possesses 1–3 years of experience in data analysis, data modeling, working with RDBMS databases, and ETL processes.
- Holds a strong academic background with a four-year engineering degree and a minimum GPA equivalent of 3.0.
- Has experience with at least one programming language such as Java or Python (preferred).
- Is proficient in SQL and working with structured data.
- Understands industry-standard data transformation and reporting tools such as Tableau, QlikView, Qlik Sense, Alteryx, or RapidMiner.
- Demonstrates a strong analytical and logical mindset with excellent attention to detail.
- Has strong communication skills — clear, concise, and confident — with the ability to manage both internal and external relationships.
- Works well in a team environment with a strong sense of ownership and accountability.
- Has advanced knowledge of Excel or is willing to learn to an advanced level.
- Can prioritize workload effectively and work with Technology teams to help deliver data-driven solutions.
Preferred Skills:
- Knowledge and/or experience with Machine Learning is preferred.
- Understanding of databases, data models, and ETL processes is preferred.
- Experience in mortgage banking or other areas of the financial industry is a plus.
- Familiarity with structured finance, collateralized lending, fixed income, or related financial modeling concepts is beneficial.
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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