Preparing for an interview at Global requires a balanced approach. You must demonstrate that you can handle rigorous data manipulation while also showing that you understand the human and business elements behind the numbers. Interviewers look for candidates who can think on their feet, communicate with confidence, and display genuine curiosity about how the business operates.

To stand out, you should focus your preparation on the following core evaluation criteria:

Role-Related Knowledge – You must show a deep understanding of data modeling, SQL, Excel, and visualization tools like Power BI or Tableau. Be prepared to explain how you construct queries, optimize data flows, and build intuitive dashboards.

Problem-Solving & KPI Design – Interviewers will assess how you translate abstract business goals into concrete metrics. You need to demonstrate a structured approach to defining, tracking, and analyzing key performance indicators (KPIs).

Stakeholder Communication – At Global, data analysts work closely with business leaders. You must prove that you can deliver data-driven insights clearly, build consensus, and influence decisions without authority.

Cultural Fit & Adaptability – The team values collaboration, continuous learning, and a proactive mindset. Showing that you are accessible, helpful, and eager to integrate with cross-functional partners is essential.

The interview process for the Data Analyst position at Global is structured to evaluate your technical capabilities, operational alignment, and cultural fit. Candidates generally report a positive, highly respectful, and welcoming atmosphere where interviewers prioritize understanding your career expectations and aligning them with the company's trajectory.

While the individual interactions are described as engaging and friendly, candidates should be prepared for a thorough and sometimes deliberate timeline. The process typically moves through several distinct phases:

• Initial Profile Screening: A comprehensive phone or video screening with a recruiter to discuss your background, technical skills, and alignment with the team's current needs.
• Hiring Manager & Stakeholder Interview: A deeper dive into your past projects, where you will discuss business metrics, showcase how you track goals, and demonstrate your analytical framework.
• Practical Assessment: A structured technical test designed to evaluate your hands-on analytical skills in a controlled, quiet environment.
• Team Integration & Culture Fit: An opportunity to meet the team, learn about the onboarding track, and understand how the analytics team collaborates with business units.

The timeline above illustrates the standard progression from your first recruiter contact through to the final decision. Because Global values thoroughness, the gap between the technical assessment and the final decision can sometimes take longer than average. Candidates should use this timeline to pace their preparation, ensuring they are fully ready for the practical test before advancing past the manager interview.

To succeed in the Global hiring process, you must understand the specific competencies being tested at each stage. The evaluation is designed to ensure you can not only write code and build reports but also drive business value.

KPI Tracking & Business Metrics

This area evaluates your ability to align data initiatives with high-level corporate goals. You must demonstrate that you understand how operational inputs convert into business outcomes.

Be ready to go over:

• Funnel Analysis – Mapping out multi-step processes (such as recruitment tracks or customer journeys) and identifying conversion bottlenecks.
• Goal Setting & Baselines – Establishing realistic, data-driven targets and performance indicators for business teams.
• Data Storytelling – Translating dashboard metrics into executive-level summaries that prompt immediate strategic action.

Example questions or scenarios:

• "A business unit is failing to meet its quarterly targets, but the individual team dashboards show green. How do you investigate this discrepancy?"
• "Walk us through how you would design a dashboard to help managers track real-time hiring metrics and ATS pipeline health."

Technical Execution & Practical Testing

At some point in the process, you will face a practical test. This assessment is highly structured, clear, and designed to evaluate your core technical toolkit under realistic working conditions.

Be ready to go over:

• SQL Proficiency – Writing queries involving complex joins, aggregations, CTEs, and window functions.
• Data Visualization – Designing clean, user-friendly reports that prioritize the most important business questions.
• Data Quality Control – Identifying duplicate records, handling null values, and validating data integrity across multiple integrated systems.
• Advanced concepts (less common) – API integrations, basic Python/R scripting for automation, and predictive modeling for trend forecasting.

Example questions or scenarios:

• "Write a SQL query to identify the average time-to-hire for candidates across different recruiting channels over the last six months."
• "You are given a raw export from an ATS that contains duplicate entries and inconsistent date formats. Show us how you clean this data for analysis."

Behavioral & Cross-Functional Collaboration

This evaluation area focuses on how you build relationships across the organization. You will need to show that you can adapt to different team dynamics and maintain a positive, helpful attitude.

Be ready to go over:

• Managing Expectations – Handling unrealistic requests from stakeholders and negotiating realistic delivery timelines.
• Empathy & Accessibility – Working alongside non-technical colleagues and helping them develop data literacy.
• Adaptability – Navigating shifting priorities and maintaining high-quality output during organizational changes.

Example questions or scenarios:

• "Describe a time when you had to work with a stakeholder who was resistant to using data to guide their decisions."
• "How do you ensure that your dashboards remain useful and adopted by the team long after the initial handoff?"