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Common mid-level data analyst title, metro location, and 3-6 year range increase candidate competition.
Analytics, BI, and GA4/GTM skills transfer across industries, but digital-marketing measurement raises moderate domain specificity.
Explicit 5-7 years requirement plus mandatory GA4/GTM and BI tooling makes shortlisting relatively strict.
Own end-to-end data collection, validation, integration, and quality assurance from multiple sources to support accurate and consistent KPI tracking.
Analyze large complex datasets to identify trends, marketing performance drivers, and provide data-driven recommendations influencing strategic and operational decisions across multinational markets.
Design and maintain interactive dashboards and executive reporting packages for global stakeholders to monitor business KPIs and marketing campaign effectiveness.
5-7 years of progressive experience in data analytics, business intelligence, reporting, or data management roles within large multinational organizations.
Advanced proficiency with Google Analytics 4 (GA4) and Google Tag Manager (GTM), including event-based analytics models, ecommerce tracking, and troubleshooting implementations.
Strong experience with data visualization tools such as Tableau and Microsoft Power BI, plus advanced Microsoft Excel skills (Power Query, Pivot Tables, complex formulas).
Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or related field.
Experienced working with large multinational corporations managing complex datasets, multiple business units, and international stakeholders.
Skilled in defining measurement requirements, tracking plans, and analytics governance to ensure scalable and governed analytics implementations.
Capable of translating complex data into clear insights for technical and non-technical audiences across global teams and time zones.