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REQUIREMENT_ID_1588 β€’ 3-DAY_ACTIVE_POLICY

Oracle Analyst

Company
Company American Express
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary 3.5 LPA
Location
Location Pan India
Posted Date
Posted Date Oct 06, 2026
Oracle Database SQL PL/SQL Oracle BI Publisher Excel PowerPoint data analysis problem solving communication teamwork
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Oracle Placement Papers Open Resource β†—
Provides sample questions and case studies to prepare for Oracle’s analytical and technical interviews.
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Oracle Recruitment Process Insights Open Resource β†—
Offers real interview experiences and tips to navigate Oracle’s hiring stages effectively.
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Oracle Interview Preparation Open Resource β†—
Contains practice questions and solutions tailored for Oracle analyst roles.
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Algorithmic Problem Solving Open Resource β†—
Helps strengthen coding fundamentals and problem‑solving skills for technical interviews.

Bachelor’s degree in any discipline with a minimum of 60% marks. Must be a 2025 or 2026 batch graduate. No backlogs allowed. Strong analytical and communication skills required.

1
Round 1: HR Screening
2
Round 2: Technical (SQL & Oracle BI)
3
Round 3: HR Interview
Oracle Analyst at egug.fa.us2.oraclecloud.com is a pivotal role that blends analytical rigor with business acumen to drive data‑driven decisions across the organization. The company, a global technology leader, is known for its robust cloud services, enterprise software solutions, and a culture that prizes innovation, integrity, and customer focus. With a presence in over 45 countries, Oracle empowers businesses to transform digitally, ensuring secure, scalable, and high‑performance solutions. The Analyst role is designed for fresh graduates who are passionate about data, technology, and problem solving. You will work closely with cross‑functional teamsβ€”product, engineering, sales, and financeβ€”to gather requirements, design dashboards, and deliver actionable insights that influence product strategy and operational efficiency. Your day‑to‑day responsibilities will include data extraction from Oracle databases, data cleansing, building reports in Oracle BI, and presenting findings to stakeholders. Key responsibilities: 1. Extract, transform, and load (ETL) data from Oracle databases. 2. Design and maintain interactive dashboards using Oracle BI Publisher. 3. Perform ad‑hoc analysis to support business decisions. 4. Collaborate with product managers to define key metrics. 5. Validate data quality and resolve discrepancies. 6. Document data models, processes, and best practices. 7. Provide training to end users on reporting tools. 8. Monitor data pipelines and troubleshoot issues. 9. Participate in sprint planning and agile ceremonies. 10. Stay updated on Oracle product releases and industry trends. Tech stack: Oracle Database, Oracle BI Publisher, SQL, PL/SQL, Excel, PowerPoint, and basic Python for data manipulation. Growth path: Analyst β†’ Senior Analyst β†’ Lead Analyst β†’ Manager β†’ Director. Oracle offers structured career ladders, mentorship programs, and continuous learning opportunities through Oracle University. Why join? Oracle’s global footprint, commitment to diversity, and focus on employee well‑being create a supportive environment. You’ll gain exposure to cutting‑edge technologies, work on high‑impact projects, and benefit from competitive compensation, health benefits, and a culture that encourages innovation and work‑life balance. This role is ideal for graduates who thrive in dynamic settings, enjoy turning data into stories, and want to build a long‑term career in technology and analytics.

American Express β€” Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
American Express Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for American Express and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Oracle Database, SQL, PL/SQL, Oracle BI Publisher, Excel, PowerPoint, data analysis, problem solving, communication, teamwork) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
American Express Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer β–Ό
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer β–Ό
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer β–Ό
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer β–Ό
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer β–Ό
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join American Express as a Oracle Analyst?
Preparation Tip: Highlight American Express's market reputation, recent tech innovations, and how your skills in Oracle Database directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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