About the job
At Avatria, we excel in delivering exceptional solutions for Digital Commerce, Content, and Analytics. Our team comprises dedicated, hands-on technologists who are truly passionate about the digital landscape. With a forward-looking vision, we strive to propel the industry forward through innovative and creative solutions. We pride ourselves on maintaining a fresh and approachable business ethos, prioritizing the best interests of our clients and employees.
The Role:
We are seeking a Digital Analytics Engineer to become an integral part of our Services team. In this role, you will be pivotal in designing, implementing, and delivering state-of-the-art digital measurement and data solutions for our clients. Your focus will encompass the implementation and management of digital analytics platforms, event tracking frameworks, customer data platforms, and data pipelines that support marketing measurement and advanced analytics initiatives. Collaboration will be key as you work with marketing teams, engineers, and data stakeholders to ensure reliable, scalable, and precise data collection across web and mobile platforms. If you are passionate about analytics engineering, measurement architecture, and enjoy tackling complex tracking challenges within a collaborative, dynamic environment, we want to hear from you!
Your Responsibilities:
- Effectively collaborate in both small and large team settings.
- Proactively implement robust analytics solutions and maintain comprehensive technical documentation.
- Adapt your role to meet the evolving needs of the team and clients.
- Take initiative and work independently, while enjoying the challenge of solving complex technical issues.
- Translate business and marketing requirements into scalable tracking and measurement architectures.
- Clearly communicate technical measurement concepts to both technical teams and marketing stakeholders.
Preferred Qualifications:
- Experience with integrating analytics and marketing data into data warehouses and BI tools.
- Familiarity with building analytics data pipelines and transformations using tools such as dbt or similar frameworks.
