Senior Data Analyst (Google Tag Manager and GA4 knowledge required)

Role Overview

Quadient is seeking a Senior Data Analyst with 5-7 years of experience to support data-driven decision making within large, complex multinational organizations. The role requires strong technical expertise, experience working with digital marketing and analytics platforms, and the ability to communicate complex findings clearly to business leaders and stakeholders across global markets.

What You Will Do

Collect, integrate, and manage data from multiple internal sources, perform data validation, cleansing, reconciliation, and quality assurance activities, analyze large and complex datasets to identify trends, opportunities, risks, and actionable recommendations, and deliver data-driven insights that enable leadership teams to make informed decisions.

Why It Might Be a Fit

The ideal candidate is passionate about data quality, KPI management, performance reporting, and identifying opportunities and risks that impact business outcomes. They should have experience working with digital marketing and analytics platforms, and the ability to communicate complex findings clearly to business leaders and stakeholders across global markets.

Requirements

• Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related field
• 5-7 years of progressive experience in data analytics, business intelligence, reporting, or data management roles
• Advanced experience with data visualization and business intelligence tools, including Tableau, Microsoft Power BI
• Advanced proficiency with GA4 and GTM with deep understanding of event-based analytics models
• Proficiency in Microsoft Excel, including Power Query, Pivot Tables, Complex formulas and functions, Data modeling and reporting
• Demonstrated experience supporting large multinational organizations with complex datasets, multiple business units, and international stakeholders
• Experience defining measurement requirements, tracking plans, event naming conventions and documentation standards to ensure scalable and governed analytics implementations
• Hands-on experience troubleshooting digital measurement implementations using Google Tag Manager, browser developer tools, DebugView, Tag Assistant, and data Layer validation techniques
• Experience analyzing customer journeys, conversion funnels, user behavior, cohort-based analysis, engagement trends and website optimization opportunities
• Strong understanding of digital attribution methodologies, campaign measurement frameworks, traffic source classification, and marketing channel performance analysis
• Knowledge of SQL and data extraction methodologies is highly desirable

Benefits

• Flexible Work
• Endless Learning
• Inclusive Community
• Comprehensive Rewards
• Caring for Wellbeing

Tagged as: Data Analysis, Google Analytics