Marketing Operations Specialist

Wizeline Open · verified Oct 10, 2026

Colombia Full-time Mid-level Marketing Operations

At a glance

Mid-level Marketing Operations role at Wizeline. Colombia · full-time.

Pay not stated Marketing Operations Specialist salary

RoleMarketing Operations

SeniorityMid-level

LocationColombia

EmploymentFull-time

PostedOct 2, 2026 · 8d ago

Role brief

growthroles summary, based on the employer's posting.

What you'll do

Gather website and app tracking needs with analytics, data science and product teams
Coordinate event setup with developers and product owners, then check that tracking works
Keep tracking architecture records current and add tags for advertising or marketing journeys
Troubleshoot analytics and data integrity issues, and run recurring checks to keep data clean
Review analytics tracking during production releases with development teams

What you bring

You have used Google Analytics or Adobe Analytics and a tag management system such as Google Tag Manager
You can query data with SQL or another language and understand event streaming between services
You know web metrics, tracking variables, and JavaScript, HTML, JSON or DOM manipulation

Who this fits

This mid-level role suits someone who can bridge analytics requirements and implementation with developers. The listed location is Colombia.

From the employer

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

Must-Have Skills

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)

Nice-to-Have Skills

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

What we offer:

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.