Analyst

Oracle’s interview process typically consists of an online aptitude test followed by a technical interview focused on data handling, Excel functions, and scenario‑based problem solving. The HR round evaluates communication skills, cultural fit, and career goals. Overall difficulty is moderate; thorough preparation of data‑quality concepts and clear articulation of past projects greatly improve chances.

Oracle is known for its merit‑based culture that encourages innovation and continuous learning. Employees enjoy a balanced work‑life schedule, flexible work‑from‑home options, and clear growth trajectories through internal mobility and mentorship programs.

Any graduate (B.Tech, B.Sc, B.Com, BA, etc.) with a minimum of 60% aggregate in the final year. No specific branch restriction. Candidates graduating in 2023, 2024, 2025, or 2026 are eligible. No active backlogs at the time of joining. Strong command of English (both written and verbal) is essential.

Round 1: Online Aptitude Test (logical reasoning, quantitative, English) → Round 2: Technical Interview (data handling, Excel, scenario based questions) → Round 3: HR Interview (fitment, communication, career aspirations)

Oracle is a global leader in cloud computing, enterprise software, and database technologies. With a strong presence in India, the company operates multiple development and support centers across major cities, including Mumbai. Oracle’s Indian operations focus on delivering innovative solutions to customers worldwide, fostering a culture of continuous learning, collaboration, and technological excellence. Employees benefit from exposure to cutting‑edge products, mentorship from industry veterans, and a clear career progression path that rewards performance and skill development. The Analyst (Apprentice Analyst) role is an entry‑level position designed for fresh graduates who are eager to dive into data‑centric responsibilities. The incumbent will work closely with senior data managers and client‑facing teams to improve the quality and completeness of product data across online and offline channels. This role blends meticulous data handling with strong communication, as the analyst must translate data gaps into actionable insights for stakeholders. Key Responsibilities: 1. Enrich and fill gaps in product data by researching multiple sources such as websites, databases, and internet portals. 2. Standardize, normalize, and categorize product attributes to maintain consistency across catalogs. 3. Perform data quality checks, identify anomalies, and correct errors promptly. 4. Generate basic data profiling reports to highlight trends and issues. 5. Communicate with clients via email to acknowledge requests, provide status updates, and respond to queries. 6. Assist customers in enhancing product data from technical specification and description perspectives. 7. Offer technical consulting to category managers on industry best practices for data enrichment. 8. Collaborate with cross‑functional teams to ensure timely delivery of data projects while upholding high‑quality standards. 9. Document processes and maintain logs of changes for auditability. 10. Proactively suggest improvements to existing data workflows and take ownership beyond assigned tasks. Tech Stack & Tools: MS Office (Excel, PowerPoint), internet research tools, basic data profiling utilities, and Oracle’s internal data management platforms. Familiarity with spreadsheet functions, data validation, and simple scripting (e.g., VBA) is advantageous. Growth Path: Starting as an Apprentice Analyst, high performers can progress to Data Analyst, Senior Analyst, and eventually to Data Product Manager or Business Analyst roles. Oracle encourages continuous upskilling through internal training programs, certifications, and exposure to advanced analytics and cloud data services. Why Join Oracle? The company offers a vibrant work environment, competitive compensation, and a robust learning ecosystem. Freshers gain hands‑on experience with real‑world data challenges, interact with global clients, and build a solid foundation for a long‑term career in data management and analytics. The role also provides a platform to develop soft skills such as stakeholder communication, problem‑solving, and project coordination, making it an ideal launchpad for ambitious graduates.