GlobalLogic Recruitment Program 2026 | Hiring Associate Analyst – Freshers (Non Voice)

About the Role

As a Global Maps Data Associate Analyst at GlobalLogic, you will be responsible for performing deep-dive analysis on map defects and opportunities across ETA, traffic, routing, places, Lanes, and navigation. Your tasks will involve identifying anomalies from large datasets, generating meaningful insights, and supporting both proactive investigations and engineering requests.

Key Responsibilities

• Analyze large, complex datasets to identify anomalies, unexpected behaviors, and region-specific defects across the global maps ecosystem.
• Provide weekly insights and trends to leadership, backed by robust data validation.
• Identify high-impact opportunities from raw data and categorize them into meaningful map-level insights—ensuring depth, clarity, and non-superficial findings.
• Investigate issues raised by product and engineering teams and deliver detailed, actionable analysis.
• Execute tasks thoroughly and accurately within defined timelines and SLAs.
• Perform repetitive data processing and quality checks at high speed and accuracy levels.
• Maintain strict adherence to client and company policies, SOPs, quality standards, and compliance guidelines.

Skills & Qualifications

• Strong analytical and problem-solving skills with the ability to identify anomalies and detect meaningful patterns.
• Proficiency in understanding, interpreting, and applying complex policies and standard operating procedures.
• Excellent attention to detail, organizational ability, and thoroughness in execution.
• Strong communication and documentation skills.
• Comfort working with minimal supervision in dynamic, ambiguous, and fast-changing environments.
• A graduation degree from a recognized institution with a Provisional Certificate and Consolidated Marks Memo.
• Immediate joiners only.

What You'll Learn

As a Global Maps Data Associate Analyst, you will gain hands-on experience in data analysis, problem-solving, and communication. You will learn to work with large datasets, identify patterns, and generate meaningful insights. This role will also help you develop strong analytical and problem-solving skills, which are essential for a career in business and data analysis.

Resume Tip

When applying for this role, make sure to highlight your analytical and problem-solving skills, as well as your ability to work with minimal supervision in a dynamic environment. Use specific examples from your academic projects or internships to demonstrate your skills and experience.