Exciting Data Analytics Analyst Opportunity at Goldman Sachs – Join Us in Bengaluru!
Are you ready to take your career to new heights with a prestigious organization? Goldman Sachs, a leading global investment banking, securities, and investment management firm, is on the lookout for a talented Analyst in Data Analytics to join their dynamic team in Bengaluru, Karnataka. This full-time position is perfect for individuals who have a strong academic background and a passion for data-driven insights. With a rich history of excellence and innovation, Goldman Sachs offers an unparalleled environment where you can thrive and grow professionally. As part of the Global Banking & Markets division, you will be at the forefront of transforming data into actionable insights that drive decisions for one of the most reputable financial institutions in the world. Don’t miss this opportunity to be part of a team that supports the Loan Management function and plays a crucial role in mortgage trading and lending products.
Key Job Details
- Company: Goldman Sachs
- Job Position: Analyst – Data Analytics
- Location: Bengaluru, Karnataka, India
- Employment Type: Permanent – Full-time
- Education Requirement: 4-year related engineering background with a minimum 3.0 GPA equivalent
- Experience: 1-3 years in data analysis, data modeling, RDBMS databases, and ETL
- Salary Package: As per Company Standards
- Date Posted: July 17, 2025
About the Role
The Analyst – Data Analytics position at Goldman Sachs offers a unique opportunity to work within the Loan Management function of the Global Banking & Markets division. As an analyst, you will be responsible for standardizing and controlling data flows related to mortgage trading and lending products. Your role involves collaborating with various teams, including Trading Desks, Asset Management, Engineering, and Compliance, to ensure the accuracy and completeness of data. You will leverage industry-standard data transformation and reporting tools, such as Tableau and Alteryx, to develop strategic reports that support decision-making processes across relevant products and asset classes. This role not only demands technical proficiency in SQL and programming languages like Java or Python but also requires a solid analytical mindset with an eye for detail. You will play a critical role in managing project timelines, reconciling data discrepancies, and ensuring that the firm’s trading and lending platforms operate efficiently and effectively. This is a fantastic opportunity for those looking to enhance their career in data analytics within a leading global firm.
Required Skills
- Technical Proficiency: Experience with programming languages such as Java or Python, along with proficiency in SQL for interacting with structured data.
- Data Transformation Tools: Familiarity with tools like Tableau, QlikView, QlikSense, Alteryx, and RapidMiner is preferred.
- Analytical Mindset: Strong analytical skills with the ability to prioritize workload and deliver high-quality results.
- Communication Skills: Excellent communication skills to manage relationships and convey complex information clearly.
- Team Collaboration: Ability to work collaboratively in a team-oriented environment, demonstrating ownership and accountability.
- Excel Skills: Knowledge of advanced Excel functionalities is essential.
- Industry Knowledge: Understanding of mortgage banking, structured finance, and related finance modeling concepts is a plus.
Responsibilities
- Data Management: Oversee management and validation of trading and lending data, ensuring accuracy and quality control.
- Process Automation: Implement process and workflow automation to enhance efficiency and reduce redundancies.
- Strategic Reporting: Develop reports for trading desks and asset management, providing critical insights across asset classes.
- Collaboration: Partner with various departments to define business requirements and translate them into actionable data models.
- Project Management: Manage timelines and deliverables for analytics, automation, and reporting initiatives.
- Data Reconciliation: Analyze and reconcile discrepancies between external vendors and internal databases.
Why Join Goldman Sachs
Goldman Sachs is renowned for its inclusive culture and commitment to fostering professional growth. The firm offers a range of benefits that support employee well-being and career development, including comprehensive health plans, retirement savings options, and ongoing training programs. Working at Goldman Sachs means being part of a collaborative environment that celebrates innovation and teamwork. Employees are encouraged to pursue continuous learning and are provided with ample opportunities for advancement. Join a company that values excellence and is dedicated to shaping the future of finance.
Industry Trends
The demand for data analytics professionals is on the rise, especially in the finance sector. As companies increasingly rely on data to drive strategic decisions, the role of data analysts becomes crucial. Understanding data transformation and reporting tools is essential in today’s market, making this position highly valuable. With the integration of machine learning and advanced analytics in financial services, the skills you acquire in this role will be in high demand, opening doors to numerous career opportunities. As businesses navigate through complex data landscapes, your expertise will play a pivotal role in ensuring data integrity and driving actionable insights.
How to Apply
If you are ready to take the next step in your career and join a leading investment firm, apply for Goldman Sachs Data Analytics Job Alerts – Apply Soon! The exciting opportunity awaits you!
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