Analytics Engineer – Digital Analytics, GA4

🕒 March 17

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Keyrus

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

🤝 B2B

B2B • Data Analytics • Consulting

Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.

📋 Description

• Analyze large volumes of web navigation and digital behavior data, transforming them into strategic insights • Structure and model Digital Analytics data, ensuring consistency and quality of information • Develop and maintain data pipelines (ETL/ELT) for data ingestion, transformation and provisioning • Implement and maintain tagging and digital data collection on web platforms and applications • Create and manage dashboards and analytical reports for different business areas • Work in partnership with product, marketing, technology and business teams to understand requests and propose data-driven solutions • Ensure best practices for data governance, privacy and security throughout the processing lifecycle • Contribute to the construction and evolution of data products and analytical datasets

🎯 Requirements

• Solid experience with Google Analytics (GA4) and web analytics • Knowledge of tagging and digital data collection • Experience with SQL and Python for data manipulation and analysis • Experience in data engineering and building data pipelines • Knowledge of data modeling and analytical transformations • Experience with data visualization tools such as Power BI or similar

🏖️ Benefits

• Culture of equality • Diversity and inclusion