🏢 Pwc

Associate Analyst (Data Collection)

💼 Fulltime 📍 Gurgaon, India
💰 Salary
4-5 LPA
📍 Location
Gurgaon, India
⏳ Deadline
31 Oct 2026
👍
Jobdexo Rating: Good
Good opportunity with decent prospects for freshers.
💰 Salary Insights
4-5 LPA
📊 View Detailed Salary Insights ↗
🛠 Skills Required
AI Data Collection Non-Personal Data Collection VR headset operation Meta Quest 3 video recording fundamentals lighting and exposure basics physical agility attention to detail communication time management
🎤 Interview Experience
The PwC interview process typically consists of an online aptitude test followed by a technical interview that probes your understanding of data collection, VR hardware, and problem‑solving abilities. The final HR round evaluates cultural fit, communication skills and availability. Candidates report a moderate difficulty level, with a focus on clear, structured answers and real‑world scenario handling.
🏢 Work Culture
PwC is known for a collaborative, inclusive work environment that emphasizes professional development and work‑life balance. Employees enjoy mentorship programs, flexible work arrangements and a strong focus on delivering high‑impact solutions to clients across industries.
🎯

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Apply before 31 Oct 2026 — only 35 days left

🚨 NEW HIRING ALERT
489 hours ago
⚡ Freshers Data Analayst MNCs Mass Hiring
Just dropped, minutes old. Apply now — early birds boost their shot by up to 85%
💰 Salary
10 LPA
🏢 Company
Data Eminence
📅 Last Date30 Sep 2026
📍 LocationPan India
⚡ Apply Now Before Others →

Creator Pick · Promoted by Creator

✅ Eligibility Criteria
Bachelor’s degree in any discipline (minimum 60% aggregate); 0‑2 years of prior field data collection experience (preferred but not mandatory); strong physical fitness to stand, walk, bend, lift moderate weights and wear a VR headset for extended periods; good communication skills; punctuality and time‑management abilities; willingness to work on‑site in Gurgaon and adhere to rotational shift patterns; immediate joining capability.
🎯

Don't miss this opportunity!

Apply before 31 Oct 2026 — only 35 days left

🚨 NEW HIRING ALERT
489 hours ago
⚡ Freshers Data Analayst MNCs Mass Hiring
Just dropped, minutes old. Apply now — early birds boost their shot by up to 85%
💰 Salary
10 LPA
🏢 Company
Data Eminence
📅 Last Date30 Sep 2026
📍 LocationPan India
⚡ Apply Now Before Others →

Creator Pick · Promoted by Creator

🏆 Selection Process
Round 1: Online aptitude/technical assessment → Round 2: Technical interview focusing on data collection processes, VR hardware handling and scenario‑based problem solving → Round 3: HR interview assessing cultural fit, communication and availability
📋 About the Role
GlobalLogic, a Hitachi Group Company, is a leading digital engineering services firm that partners with some of the world’s most innovative brands across high‑tech, communications, media, healthcare, retail and telecom sectors. Since its inception in 2000, GlobalLogic has built a reputation for delivering end‑to‑end product development, from concept to market, leveraging cutting‑edge technologies such as AI, computer vision, cloud, and immersive reality. The company’s culture emphasizes collaboration, continuous learning, and a strong focus on delivering tangible business impact for its clients. Employees benefit from a global network of delivery centers, exposure to diverse industry problems, and a vibrant internal community that encourages knowledge sharing and personal growth. The role of Associate Analyst (Data Collection) is a front‑line position within GlobalLogic’s field operations team, based in the Delhi‑NCR region. As an Egocentric Data Collection Operator, you will wear Meta Quest 3 VR headsets to capture first‑person video footage of real‑world activities in environments such as retail stores, warehouses, hotels, workshops and laboratories. The video data you collect will feed directly into advanced AI and computer‑vision models, helping to train systems that understand human motion, hand‑object interactions, and multi‑step task workflows. This is a highly hands‑on role that blends physical agility with technical curiosity, requiring you to follow strict quality guidelines while maintaining a safe and comfortable working pace. Key responsibilities include: 1. Performing realistic, structured, multi‑step physical tasks while wearing a Meta Quest 3 headset to ensure clear first‑person video capture. 2. Executing a wide variety of hand‑object interactions such as picking, placing, reaching, bending, turning, carrying, packing, sorting, scanning and trolley transport. 3. Operating across diverse real‑world scenes – retail shelving, hotel rooms, warehouse packing benches, assembly stations and laboratory setups – to capture varied contextual data. 4. Maintaining strict adherence to lighting, camera exposure, and framing guidelines to guarantee high‑quality footage. 5. Monitoring headset comfort and managing motion‑sickness risks during multi‑hour collection shifts. 6. Recording metadata and task completion logs in the associated mobile application. 7. Collaborating with the data quality team to review and flag any sub‑optimal recordings. 8. Ensuring safety protocols are followed while moving, lifting moderate weights and navigating confined spaces. 9. Reporting daily progress and any equipment issues to the field operations supervisor. 10. Participating in rotational shift schedules (5 working days followed by 2 days off) and being ready to join immediately. Why join? GlobalLogic offers exposure to cutting‑edge AI projects, a collaborative environment with global talent, and a clear growth path from associate analyst to senior data specialist or project lead. The company invests heavily in learning & development, providing communication workshops, stress‑management programs, and technical certifications. Competitive compensation, comprehensive health benefits, paid time off, and a vibrant office culture with sports events, cultural activities and subsidised meals make it an attractive place for fresh graduates eager to start a career at the intersection of physical data collection and AI innovation.
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Don't miss this opportunity!

Apply before 31 Oct 2026 — only 35 days left

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📋 Quick Info
JOB ID
C005-J243
POSTED
-15581s ago
TYPE
Fulltime
BATCH
All Batches
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