The Role
Implement and maintain web and mobile analytics tracking architectures, event tagging, and marketing journey tags. Partner with analytics, product, and development teams to define requirements, ensure implementation quality, troubleshoot data integrity issues, maintain Confluence documentation, and perform routine tracking QA. The role requires expertise in analytics platforms, tag management, event streaming, web technologies, marketing technology, customer data platforms, mobile SDKs, and data integration processes.
Summary Generated by Built In
We are:
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.
Are you a fit?Sounds awesome, right? Now, let’s make sure you’re a good fit for the role.
Key Responsibilities- 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
- A High-Impact Environment
- Commitment to Professional Development
- Flexible and Collaborative Culture
- Global Opportunities
- Vibrant Community
- Total Rewards
Specific benefits are determined by the employment type and location.
Find out more about our culture here.
Skills Required
- Experience with Google Analytics or Adobe Analytics
- Experience with tag management systems such as Google Tag Manager or Adobe Dynamic Tag Management
- Knowledge of SQL or other querying language frameworks
- Experience with event streaming, microservice messaging, and services such as Apache Kafka, Amazon Kinesis, Segment, or RudderStack
- Understanding of web metrics, KPIs, and tracking variables
- Knowledge of JavaScript, HTML, JSON, and DOM manipulation
- Experience with front-end web or analytics development tools
- Exposure to tag audit and session replay tools
- Experience with marketing technology platforms
- Understanding of Data Management Platforms
- Understanding of mobile SDK reporting tools such as Google Firebase
- Understanding of ETL and ELT processes
- Understanding of Customer Data Platforms
- Proficiency with one or more AI tools for work optimization
- Experience with AWS or GCP
- Understanding of testing and optimization platforms such as Adobe Target or Optimizely
- Experience building data models in dbt
- Experience building configuration automation with Terraform
Wizeline Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Wizeline and has not been reviewed or approved by Wizeline.
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Healthcare Strength — Core coverage spans medical, dental, vision, life and disability insurance, with private medical commonly included in Mexico. Additional support such as EAP and wellness programs is also referenced.
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Leave & Time Off Breadth — Paid vacation, holidays, sick leave, volunteer time, and parental leave are called out, alongside flexible or remote work options. Unlimited PTO is mentioned in some contexts.
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Retirement Support — Savings and retirement elements appear across regions, including a 401(k) in the U.S. and a savings fund and profit sharing in Mexico. These components provide structured long-term financial benefits.
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The Company
What We Do
Wizeline, a global technology services provider, builds the best digital products and platforms at scale. We focus on measurable outcomes, partnering with our customers to modernize core technologies, mature data-driven capabilities, and improve user experience.
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