Apply for a high‑paying Data Analytics Analyst role at Goldman Sachs in Bengaluru – entry-level, strong salary & growth in 2025.
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🔥 High‑Paying Data Analytics Analyst at Goldman Sachs – Top Investment Banking Jobs Bengaluru 2025
Why Choose Goldman Sachs?
Goldman Sachs is a top global investment bank, serving corporations, governments, and high-net-worth clients since 1869. With major offices in London, Tokyo, Hong Kong, and Bengaluru, it stands out as a Top MNC offering a strong 2025 Career Boost in the tech‑finance consulting space.
Job Summary
Join the GBM Public Data Analytics team to manage, automate, and control mortgage and structured product data pipelines. This role offers a 2025 Career Boost into data analytics within global banking and markets.
Key Responsibilities 🔧
- Oversee mortgage & structured-product trading and lending data, including pipelines, databases, validation, and quality control
- Automate processes & workflows to reduce manual tasks and boost efficiency
- Create strategic reports for trading desks & asset management
- Ensure end-to-end accuracy of data by collaborating with Trading Desks, Asset Management, Engineering & Strats
- Liaise with Controllers, Compliance, and Risk for regulatory reporting via automated toolkits
- Translate business needs into solution specs & deliver on time
- Manage project timelines for analytics, automation, and reporting
- Reconcile discrepancies between external vendor data and internal systems through focused analytics
Who Can Apply? ✅
- 💼 Experience: 1–3 years in data analysis, data modeling, RDBMS & ETL
- 🎓 Education: 4-year engineering degree with ≥ 3.0 GPA—strong academic record
- 🛠️ Technical Skills:
- Proficient in SQL and structured data handling
- Experience with Tableau, QlikView/QlikSense, Alteryx, or RapidMiner
- Programming in Java or Python—preferred
- Advanced Excel skills
- 🧠 Mindset & Traits:
- Strong analytical/logical thinking and attention to detail
- Excellent communication – clear, concise, confident
- Team-oriented with ownership & accountability
- Ability to prioritize workload and partner with technology for data-smart solutions
- 🎯 Good-to-Have: Machine Learning knowledge; financial or structured finance experience
Apply for KONE Recruitment 2025
Work Location & Type 🌍
📍 Location: Bengaluru, Karnataka, India (Office-based)
🏢 Work Model: On‑Site (not remote/hybrid)
Salary Insights 💰
Market data in Bengaluru shows:
- Analyst base ₹10–23 LPA, plus ₹3–7 LPA in bonuses & stock—total ₹12.5–26 LPA annually
- Data Analyst roles often offer ₹9–14.4 LPA total comp
Estimated range for this Data Analytics Analyst: ₹12 – 18 LPA total compensation.
Includes Performance-Based Pay, bonus & growth potential.
About Goldman Sachs 🏢
Goldman Sachs, founded 1869, is a global powerhouse in investment banking, securities, and asset management. In Bengaluru, the GBM Public Data Analytics team manages key mortgage and structured-finance data flows. The firm prides itself on diversity, inclusion, top-tier training, and wellness programs.
Perks & Benefits 🎁
According to employee feedback, Analyst-level perks include.
- 🏥 Health, dental & vision insurance
- 🍼 Generous maternity & paternity leave
- 🕓 Flexible working hours, unlimited sick leave
- 🧘 Wellness programs & health check-ups
- 🎓 Strong L&D budget & training resources
- 🌍 Access to firmwide networks & mindfulness programs
- 💸 Bonuses, profit-sharing, and retirement benefits
- 🏖️ ~45 days paid leave (annual + casuals)
📢 How to Apply for Goldman Sachs Recruitment 2025?
To apply for this Off Campus Drive, interested candidates must follow the procedure outlined below:
- Click on “Apply”.
- If you have not registered before, create an account.
- After registration, log in and fill in the application form with all the necessary details.
- Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
- Verify that all the details entered are correct.
- Submit the application form after verification.
If you face any issues while applying. Do let us know in the comment section
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❓ FAQs
Q1: What is the selection process?
Typically includes an online application → technical screening → manager/HR interviews.
Q2: Is this a remote or hybrid role?
✅ This is an on‑site role in Bengaluru.
Q3: What key skills are preferred?
Strong SQL, ETL, data visualization (Tableau/QlikView), programming (Python/Java), and advanced Excel.
Q4: What is the expected pay?
Estimated ₹12–18 LPA total, including performance-based incentives.
Q5: Do I need financial industry experience?
Preferred but not mandatory; enthusiasm for finance or mortgage data is helpful.
