Data Analytics Solutions Architect
hace 4 semanas
Incubeta is a digital marketing consultancy with a focus on technology, data, and people. Our specialists build solutions that leverage the power of technology, the truth of data, and the spark of human creativity. We help advertisers, agencies, and publishers get the most from digital for their business.
We address ad tech infrastructure, data management, integration, and media management and provide clients with relevant and up-to-date digital marketing services and consultancy.
Role Overview:
We're seeking a skilled Data Analytics Solutions Architect to support our analytics team and clients by providing technical expertise and solutions. Your responsibilities include ensuring efficient and accurate implementation of solutions, conducting quality assurance processes, and mentoring team members to enhance their technical proficiency.
Responsibilities
Develop and implement analytics features, including configuring and implementing web analytics platforms, app analytics, and tag management solutions. Utilise industry-standard best practices to implement first-party data solutions such as Consent Mode, Enhanced Conversions, and Conversion APIs. Define and implement tracking solutions across analytics and marketing platforms to ensure cohesive user journey tracking. Troubleshoot analytics implementations using tools such as Chrome Tools, Charles, and Google Tag Manager for debugging. Conduct QA processes to ensure accurate data capture and reporting, using debugging techniques and tools. Meet project timelines and conduct thorough QA checks for event tracking, data accuracy, and conversion pixels. Educate clients on using analytics tools and interpreting reports in platforms like GA4 and Adobe Analytics.
Key Skills
Technical expertise in analytics platforms, tag management solutions, and first-party data solutions. Strong problem-solving skills and ability to troubleshoot complex issues. Excellent communication and mentoring skills. Ability to work in a fast-paced environment and meet project timelines. Experience with Google Tag Manager, Adobe Analytics, and other analytics platforms. Knowledge of industry-standard best practices for analytics implementation and data management.
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