Responsibilities
- Conduct in-depth analysis of digital user behavior, campaign outcomes, and conversion pathways to uncover trends, risks, and growth opportunities.
- Deliver data-driven insights that address key business challenges and inform decision-making across marketing, product, and sales functions.
- Develop compelling data narratives that link analytical results to strategic actions, adapted for technical, management, and executive audiences.
- Establish performance indicators, measurement systems, and attribution approaches to assess the overall effectiveness of digital platforms.
- Create and manage scalable data pipelines in BigQuery, integrating data from sources including GA4, CRM systems, ad platforms, and transaction databases.
- Write high-performance SQL queries for large datasets, including Google Analytics 4 event exports, to support analytical workflows.
- Partner with data engineering teams to ensure proper data modeling, quality, governance, and accessibility across cloud platforms like GCP and AWS.
- Develop and update executive-level dashboards using Looker Studio or similar BI tools to provide timely, clear, and actionable business intelligence.
- Communicate analytical results to senior leadership, distilling complex technical findings into clear, strategic business recommendations.
- Record analysis methods, underlying assumptions, and model constraints to maintain transparency and enable reproducibility.
- Serve as a technical mentor within the analytics team, guiding junior members on SQL, Python, and analytical modeling best practices.
- Work with regional teams across different markets to understand local dynamics and aggregate insights for broader application.
- Champion a culture rooted in data, promoting ethical data use and experimentation as core components of business decisions.
Work Arrangement
Hybrid
