Marketing Analyst
Vortex Engineering · Poland
- Type: gig
- Location: region — Latin America
- Compensation: NZD 140831–218271
- Timezone: UTC+2
About the role
About the Role
We are looking for a talented Marketing Analyst.
Requirements
- PHP - Tailwind CSS - Playwright - 3+ years experience - Remote-first mindset
Benefits
- Competitive salary - Flexible hours - Remote culture - Dev budget - Health insurance
What You Will Do
As our Marketing Analyst, you will dive deep into campaign performance, leveraging your understanding of PHP to extract and analyze data from various marketing platforms. You'll translate these insights into actionable recommendations, perhaps by building out dashboards or reports that utilize your familiarity with Tailwind CSS for clear and intuitive presentation. A key part of your role will involve utilizing Playwright for automated testing and data validation across our marketing automation tools, ensuring accuracy and efficiency in our digital initiatives.
Why Join Us
Join a dynamic and forward-thinking marketing team where collaboration and innovation are at the core of everything we do. We offer unparalleled opportunities for professional growth in a fully remote environment, allowing you to balance your life and career seamlessly. You'll be part of a supportive culture that values data-driven decision-making and encourages creative problem-solving, making a real impact on our global reach.
Who You Are
You are a detail-oriented and analytical individual with a passion for dissecting complex data sets. Your technical aptitude, particularly with PHP, Playwright, and a keen eye for design through Tailwind CSS, allows you to not only analyze but also contribute to the practical implementation of our marketing strategies. You possess excellent communication skills, can clearly articulate technical findings to non-technical stakeholders, and thrive in an independent, remote work setting.
Required skills
- PHP
- Tailwind CSS
- Playwright
About Vortex Engineering
Remote-first company building scalable data platforms.