Associate Analyst – Freshers (Non Voice)

GlobalLogic’s interview process typically starts with an online aptitude test focusing on logical reasoning, quantitative ability and data interpretation. The technical round assesses data‑analysis fundamentals, SQL/Excel tasks, and scenario‑based problem solving. The final HR round evaluates cultural fit, communication skills, and willingness to work in rotational shifts. Candidates should practice data‑driven case studies and be ready to discuss how they handle large datasets with accuracy.

Round 1: Online aptitude test (logical reasoning, quantitative, data interpretation) → Round 2: Technical interview (data analysis concepts, SQL/Excel exercises, scenario based questions) → Round 3: HR interview (fitment, communication, shift flexibility)

GlobalLogic fosters a learning‑centric culture where engineers are encouraged to experiment and upskill. Employees benefit from mentorship, regular training sessions, and a balanced work‑life environment with flexible schedules and wellness programs. The company’s global footprint also offers opportunities for cross‑location collaboration and career growth.

Graduation from any discipline no active backlogs; immediate joiners only; any stream with strong analytical aptitude; willingness to work on‑site in Hyderabad and rotate shifts.

GlobalLogic, a Hitachi Group Company, has been a leading digital engineering partner since 2000. With a presence in more than 30 locations worldwide, the firm helps Fortune‑500 brands across high‑tech, healthcare, media, retail and telecom transform their businesses through intelligent products and platforms. The company’s culture blends cutting‑edge technology with a collaborative, people‑first mindset, offering employees the chance to work on global projects while enjoying a supportive work‑life balance. GlobalLogic’s commitment to continuous learning is evident through its Learning & Development programs, mentorship initiatives, and exposure to diverse client domains. The role of Associate Analyst – Freshers (Non Voice) is positioned within the Global Maps Data team. As a fresh graduate, you will dive deep into massive map datasets to uncover defects, anomalies, and opportunities across ETA, traffic, routing, places, lanes and navigation. The job demands meticulous data processing, pattern recognition, and the ability to translate raw numbers into actionable insights for product and engineering teams. You will work on‑site in Hyderabad, following a rotational shift schedule, and will be expected to meet strict SLAs while adhering to company policies and SOPs. **Key Responsibilities** 1. Analyze large, complex datasets to detect anomalies, unexpected behaviors, and region‑specific map defects. 2. Generate weekly insight reports for leadership, backed by rigorous data validation. 3. Identify high‑impact opportunities from raw data and categorize them into clear, non‑superficial map‑level insights. 4. Investigate issues raised by product and engineering teams, delivering detailed, actionable analysis. 5. Perform repetitive data processing and quality checks at high speed while maintaining accuracy. 6. Ensure strict compliance with client policies, SOPs, quality standards, and compliance guidelines. 7. Track daily work patterns to meet productivity and quality targets. 8. Read, interpret, and apply complex policy documents and special handling guidelines. 9. Document findings and communicate them effectively to cross‑functional stakeholders. 10. Continuously suggest process improvements to enhance data quality and turnaround time. **Tech Stack & Tools**: Advanced Excel, SQL for data extraction, Python (pandas, numpy) for data manipulation, data visualization tools (Tableau/PowerBI), and internal mapping platforms. **Growth Path**: Starting as an Associate Analyst, high performers can progress to Senior Analyst, Data Insights Lead, and eventually to roles such as Product Analyst or Mapping Solutions Architect. The exposure to global projects and cross‑functional teams accelerates skill development and opens doors to international assignments. **Why Join GlobalLogic?** The company offers exciting projects with global brands, a collaborative environment, flexible work schedules, comprehensive learning programs, competitive compensation, and a vibrant campus life with sports, cultural events, and wellness initiatives. Freshers get a solid foundation in data analytics within a real‑world mapping context, making it an ideal launchpad for a career in data‑driven product engineering.