Data Engineer – GA4
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Job Description
Senior Data Engineer supporting clients in evolving employee engagement measurement. Driving data integration and analysis using various communication tools for enhanced corporate communication strategies.
Responsibilities:
- Design and maintain data pipelines that integrate communication and engagement data from multiple platforms including Slack, internal email tools, and intranet systems.
- Implement and manage analytics instrumentation using Google Analytics 4 (GA4), including events, parameters, custom dimensions, and explorations.
- Develop complex SQL queries to join and normalize datasets across different communication and engagement systems.
- Build advanced dashboards and analytical models using Looker Studio or Tableau to visualize employee engagement and communication flows.
- Translate complex datasets into clear insights and narratives that can be understood by non-technical stakeholders and executive leadership.
- Identify patterns and behavioral signals that explain why engagement trends occur and propose data-driven improvements.
- Ensure proper analytics implementation through tagging standards, UTM governance, and QA validation across communication channels such as landing pages and newsletters.
- Partner with communications, product, and analytics teams to refine metrics and continuously improve the measurement framework for internal engagement.
Requirements:
- 6+ years of professional experience in data engineering, analytics engineering, or advanced analytics roles.
- Expert-level experience with Google Analytics 4 (GA4), including events, parameters, explorations, and custom dimensions.
- Strong SQL skills with experience joining and transforming datasets from multiple sources.
- Advanced experience building dashboards and data models in Looker Studio or Tableau.
- Proven ability to transform analytical findings into clear, actionable insights for non-technical stakeholders.
- Experience working in digital analytics, product analytics, or marketing analytics environments.
- Strong understanding of analytics instrumentation, tagging strategies, and UTM governance.
- Experience validating analytics implementations and ensuring accurate event tracking across digital properties.
- Experience using Python for advanced data analysis, automation, or data transformation workflows (Nice to Have).
- Familiarity with employee communication platforms such as Poppulo, LumApps, or similar internal communications tools (Nice to Have).
- Experience combining behavioral analytics data (clicks, engagement metrics) with survey or sentiment data such as eNPS or internal employee surveys (Nice to Have).
Benefits:
- Long-term full-time engagement with a global client.
- Fully remote work environment across LATAM.
- Opportunity to work on high-impact analytics initiatives that influence organizational communication strategies.
- Collaboration with distributed engineering and analytics teams working on modern data and AI-driven solutions.
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