At CI&T, we are committed to delivering data-driven digital experiences that transform how our clients understand and engage with their customers. As we expand our Analytics practice, we are seeking a talented and experienced Digital Analytics Analyst to ensure the reliability, accuracy, and strategic value of digital analytics implementations across web and mobile platforms.

In this role, you will serve as a technical specialist and consultant, bridging business needs with analytics technology. You will be responsible for the complete lifecycle of digital analytics—from designing tagging strategies and configuring measurement tools to generating actionable insights through reports and dashboards. Your work will enable data-driven decision-making across product, marketing, and executive teams, ensuring that every digital interaction is properly tracked, analyzed, and optimized.

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Responsibilities:

Analytics Implementation & Configuration:

• Design and develop comprehensive tagging plans that align with business objectives and measurement strategies
• Configure analytics platforms according to defined metrics and tagging specifications, including enhanced e-commerce tracking, conversion funnels, custom dimensions and metrics, filters, and view configurations
• Develop technical documentation for implementing analytics tools and A/B testing platforms according to measurement requirements
• Implement and deploy analytics solutions using tag management systems to ensure accurate and efficient data collection

Business Consulting & Hypothesis Development:

• Translate business questions into well-defined, testable hypotheses that drive analytical rigor
• Map and identify data requirements necessary for developing analyses, dashboards, and decision-support tools
• Apply business knowledge and a consultative approach to identify problems, analyze root causes, and define testing frameworks
• Recommend new analyses, reports, and KPIs to measure business impact and guide strategic initiatives

Data Analysis & Storytelling:

• Conduct exploratory data analysis to uncover trends, patterns, and actionable insights from digital interaction data
• Create compelling data-driven narratives that effectively communicate findings to both technical and executive audiences
• Generate reports and develop interactive dashboards that enable squads and stakeholders to make informed decisions
• Leverage data visualization best practices to present complex information in clear, actionable formats

Data Quality & Governance:

• Monitor and ensure the reliability and integrity of data in the digital analytics environment
• Identify and troubleshoot data discrepancies, implementation errors, and tracking gaps
• Optimize data storage and collection practices to minimize data loss and maximize analytical value

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Requirements:

• Proven experience developing tagging plans and measurement strategies for web and mobile applications
• Strong proficiency configuring advanced analytics features including Measurement Protocol, Enhanced E-commerce, Funnels/Goals, Custom Dimensions and Metrics, Filters, and Views
• Demonstrated ability to translate business objectives into hypotheses and data requirements
• Experience conducting exploratory data analysis and building data-driven narratives for diverse audiences
• Proficiency generating reports and dashboards using tools such as Data Studio, Power BI, and Tableau
• Strong business acumen with a consultative mindset for problem identification and solution design
• Ability to work autonomously while actively collaborating with cross-functional teams
• Excellent communication skills with a collaborative, team-oriented approach

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Nice to Have:

• Prior experience delivering Digital Analytics projects from end to end
• Hands-on experience working within agile development methodologies
• Deep knowledge of Google Analytics (GA4 and/or Universal Analytics)
• Ability to develop implementation documentation for Google Tag Manager, Google Analytics, and A/B testing platforms
• Practical experience implementing analytics solutions via Google Tag Manager
• Familiarity with SQL for data extraction and ad-hoc analysis