Viseven Group is a leading global B2B MarTech service provider, empowering Pharma and LifeScience companies since 2009.
Our mission is to drive digital transformation and excellence, offering comprehensive end-to-end software and digital marketing services tailored to the pharmaceutical industry.
The company's solutions, products, and services are actively used by the top 100 Pharma and Life Science companies.
At Viseven, our rapidly growing team boasts over 700 highly skilled professionals, including experts in development, design, business analysis, project management, delivery, sales, marketing, and customer success.
With a global footprint in more than 30 countries across the US, LATAM, Europe, and APAC, and physical offices in Ukraine, Poland, Estonia, India, and the US, we are well-positioned to serve our diverse clientele.
Join us and become part of a pioneering team dedicated to shaping the future of digital transformation in Pharma and Life Sciences across more than 50 countries around the globe.
Role description:
We are looking for an experienced Analytics Engineer to join a project with our US-based customer.
Working hours: 9 AM - 5 PM EST, Mon-Fr.
This role focuses on designing, implementing, and optimizing digital analytics solutions using tools such as Google Analytics 4 (GA4), Google Tag Manager (GTM), and data layer frameworks.
The position ensures accurate event tracking, scalable tagging infrastructure, and actionable insights to support data-driven decision-making across the company.
Google Analytics 4 (GA4) & BigQuery:
Design and implement custom event tracking to capture key user interactions using GA4's event-based model.
Google Tag Manager (GTM) & Data Layer:
Architect and maintain robust data layers for reliable, scalable tracking.
Compliance & Consent Management:
Integrate CMP logic and ensure tracking complies with GDPR, CCPA, and related regulations.
Reporting & Visualization:
Build and maintain internal Looker Studio dashboards.
Technical Implementation & Version Control:
Use GitHub for version control following branching and deployment best practices.