Job Title: Analyst – Data Analytics, Public Dept – GBM
Job ID: 148106
Location: Bengaluru, Karnataka, India (On-site)
Employment Type: Full-Time
Experience: 1–3 Years
Salary: As per Industry Standards
Qualification: 4-Year Engineering Degree (minimum 3.0 GPA or equivalent)
Certifications (if any): None mandatory; Data Analytics or Financial Modeling certifications are a plus
About Us
Goldman Sachs is a leading global investment banking, securities, and investment management firm that provides a wide range of financial services to a substantial and diversified client base. Founded in 1869 and headquartered in New York, the firm has offices in major financial hubs such as London, Tokyo, and Hong Kong. In India, Goldman Sachs Services Private Limited operates out of Bengaluru and supports a range of strategic business units across the globe. Our values revolve around client service, integrity, teamwork, and excellence. We aim to create lasting value for our clients, employees, shareholders, and the communities we operate in.
🔥 Don’t Miss
Key Responsibilities
🔥 Don’t Miss
Manage and oversee trading and lending data related to Mortgages and Structured Products
Handle data pipelines, database management, validation, and quality control for critical financial instruments
Drive process and workflow automation to reduce manual intervention and boost trading efficiency
Build strategic reports and dashboards to assist trading desks and asset managers across asset classes
Partner with cross-functional teams like Trading, Engineering, and Risk to develop strategic data models
Collaborate with Compliance and Controllers teams to automate regulatory and business-critical reports
Translate complex business requirements into technical specifications and data deliverables
Manage timelines, track progress, and ensure timely completion of analytics and reporting projects
Investigate and reconcile data discrepancies using SQL and advanced analytics
Maintain accuracy and completeness of data by leveraging ETL processes and structured validation methods
Required Skills
1–3 years of experience in data analysis, data modeling, and working with relational databases
Proficient in SQL and structured data querying
Experience with ETL (Extract, Transform, Load) processes
Proficient in at least one programming language – preferably Python or Java
Understanding of data visualization tools such as Tableau, QlikView, QlikSense, or Alteryx
Excellent analytical and logical problem-solving abilities
Strong written and verbal communication skills for stakeholder management
Team player with a high sense of ownership and accountability
Strong project management and multitasking abilities
Ability to work independently while managing multiple priorities
Preferred Skills
Exposure to machine learning models or predictive analytics tools
Hands-on experience with RapidMiner or similar data science platforms
Familiarity with structured finance and collateralized lending concepts
Basic understanding of fixed income trading and associated risk metrics
Knowledge of finance-specific ETL and data management practices
Working knowledge of Excel at an advanced level (e.g., pivot tables, VBA)
Previous experience in the mortgage or investment banking sector
Certification in Data Analytics, Financial Modeling, or Business Intelligence
Comfort with Agile methodologies and collaborative work environments
Knowledge of regulatory reporting requirements in finance is a bonus
Perks & Benefits
Competitive compensation and performance-based bonuses
Global Medical, Security, and Travel Assistance
Access to state-of-the-art health centers and wellness programs
Advanced financial wellness programs and retirement planning support
On-site fitness centers and reimbursement for gym memberships
Comprehensive vacation and paid time off plans (minimum 3 weeks)
Family support benefits including child care, parental leave, adoption support
Learning & development opportunities with access to global training modules
Counseling and referral services via the Employee Assistance Program (EAP)
Ergonomics and work-life balance initiatives to support employee well-being
Why Join Us?
At Goldman Sachs, we believe that who you are makes you better at what you do. We invest heavily in the personal and professional development of our employees. Our culture promotes innovation, teamwork, and integrity at all levels. We embrace diversity and foster an inclusive environment where everyone is empowered to thrive. With global exposure, impactful work, and world-class mentorship, you’ll have the opportunity to elevate your career while working on some of the world’s most influential financial platforms. From technology-driven solutions to dynamic market interactions, your role will play a vital part in shaping the future of global finance.
