Marketing Operations Specialist

Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

With the right people and the right ideas, there’s no limit to what we can achieve.

Sounds awesome, right? Now, let’s make sure you’re a good fit for the role.

• →Work closely with Data Analytics, Data Science, and Product teams to identify and gather requirements for tracking on websites and mobile applications
• →Work closely with developers and digital product owners to implement the event architecture and conduct necessary quality assurance checks
• →Responsible for maintaining documentation from the Tracking Architecture team via Confluence
• →Work on ad-hoc basis to implement additional tracking to support advertising and marketing journey tags
• →Provide general troubleshooting assistance for the analytics team as well as provide guidance for data integrity issues
• →Work with development teams to ensure analytics tracking QA during production cycles
• →Perform routine quality assurance checks to guarantee clean data for the Analytics team

• Experience with industry leading analytics tools (Google Analytics or Adobe Analytics)
• Experience with tag management systems, such as Google Tag Manager, Adobe
• Dynamic Tag Management (DTM), etc.
• Knowledge of SQL and/or other querying language frameworks
• Experience with event streaming, messaging between microservices, and data streaming and messaging services like Apache Kafka, Amazon Kinesis, or Segment,
• Rudderstack
• Understanding of web metrics, KPIs and tracking variables
• Knowledge of JavaScript, HTML, JavaScript Object Notation (JSON), and Document Object Model (DOM) manipulation
• Experience with front-end web or analytics development tools
• Exposure to Tag audit and session replay tools such as Tag inspector, Tealeaf, Fullstory, etc.
• Experience with marketing technology (Google Marketing Platform, Facebook Business Manager, etc.)
• Understanding of Data Management Platforms (DMP) such as Adobe, BlueKai, Google Ads Manager, etc.
• Understanding of Mobile SDK tools for reporting (i.e. Google Firebase)
• Understanding of ETL and ELT processes
• Understanding of Customer Data Platforms (CDP) and their usefulness (Segment Engage, Customer.IO)

• AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.
• Experience with cloud computing services (AWS, GCP)
• Understanding of testing and optimization platforms (Adobe Target, Optimizely, etc.)
• Experience building data models in dbt
• Experience building config automation with Terraform