Associate Analyst

The GlobalLogic interview process typically begins with a timed online aptitude test covering logical reasoning, quantitative ability, and English. Shortlisted candidates then face a technical round that includes a practical data annotation exercise and questions on MS Office proficiency. The final HR round assesses cultural fit, shift flexibility, and salary expectations. Overall difficulty is moderate; thorough preparation of aptitude topics and familiarity with annotation tools greatly improve chances.

GlobalLogic promotes a learning‑first culture where employees are encouraged to upskill through internal training and certifications. The company offers flexible shift options, a collaborative environment, and clear growth pathways, balancing project demands with work‑life harmony.

• Minimum 10th/12th percentage: 60% aggregate (preferred) • Bachelors degree in any discipline (Engineering, Science, Arts, Commerce) • No specific branch restriction • Fresh graduates or candidates with up to 1 year of experience • No active backlogs; a maximum of 1 backlog allowed at the time of joining, to be cleared within the first 6 months • Must be able to work in 24/7 shift rotations.

Round 1: Online aptitude test (logical reasoning, quantitative, English) → Round 2: Technical/skill assessment (data labeling exercise, MS Office proficiency) → Round 3: HR interview (fitment, shift availability, salary expectations)

GlobalLogic is a leading digital engineering services firm that partners with some of the world’s most innovative companies to design and develop software‑intensive products. With a strong presence in India, the company operates multiple delivery centers across the country, fostering a culture of continuous learning, collaboration, and cutting‑edge technology adoption. Its focus on AI/ML, cloud, and product engineering makes it an attractive destination for fresh talent eager to work on real‑world projects that impact millions of users. As part of its rapid expansion in the AI/ML domain, GlobalLogic is hiring Associate Analysts to support data annotation initiatives that feed high‑quality training data into machine‑learning models. The role is ideal for recent graduates who possess solid computer fundamentals, an eye for detail, and a willingness to work in shift‑based environments. Comprehensive training is provided, so candidates need not have prior experience in data labeling, but they should be comfortable with Microsoft Office or Google Suite and be quick learners. **Key Responsibilities** 1. Manually label and annotate data points across text, audio, video, and image formats following detailed guidelines. 2. Ensure consistency and correctness of labeled data by adhering to established standards. 3. Meet daily and weekly labeling targets while maintaining high accuracy. 4. Communicate effectively with supervisors to clarify instructions and resolve ambiguities. 5. Decode written content, describe visual or auditory media using proper grammar and punctuation. 6. Perform quality checks on annotated datasets and flag inconsistencies. 7. Collaborate with the AI/ML team to provide feedback on annotation guidelines. 8. Manage time efficiently in a fast‑paced, 24/7 shift environment. 9. Assist in gathering non‑personal data such as images of receipts, buildings, vehicles, etc., for model development. 10. Continuously improve annotation speed and quality through self‑learning and peer reviews. **Tech Stack & Tools**: The role primarily uses annotation platforms (internal or third‑party), MS Office/Google Suite for documentation, and basic data handling utilities. Familiarity with Windows/Linux operating systems and internet browsers is essential. **Growth Path**: Starting as an Associate Analyst, high performers can progress to Senior Analyst, Data Quality Lead, or move into specialized AI/ML roles such as Data Engineer, Annotation Specialist, or Product Analyst. GlobalLogic encourages internal mobility and offers mentorship programs, certifications, and exposure to cutting‑edge projects. **Why Join GlobalLogic?** The company offers a structured training program, exposure to global clients, and a collaborative environment that values innovation. Freshers get a foot in the door of the AI/ML industry, with clear career ladders, competitive compensation, and the chance to work on data that powers next‑generation products.