Analytics Lead – Data Engineering
Core
Leading data engineering, analytics infrastructure, and AI-enabled workflows to support global communications analytics and decision-making.
Role type
Senior IC Analytics Lead (Data Engineering)
Builds
Scalable data pipelines, AI-ready datasets, and analytics dashboards for the Global Communications function.
Domain
Corporate Communications / Data Engineering
Required skills
Power BI (DAX, M), Data Modeling, ETL/ELT (Power Query, SQL, Python/PySpark), Data Pipelines, AI API Integration, Data Visualization, Statistical Analysis, Team Coordination
Preferred skills
AI/MCP technical design, Flowise, Azure Data Factory, Databricks, Smartsheet, AirTable, GPT-based workflows
Technologies
Power BI, Microsoft Fabric Lakehouse, Azure Data Factory, Python, PySpark, SQL, Smartsheet, Adobe Analytics, Sprinklr, Flowise, MCP
Responsibilities
Lead data engineering and technical infrastructure implementation; Develop and maintain data pipelines and ETL workflows; Implement AI-enabled analytics foundations and workflows; Perform statistical analysis and create visualizations; Coordinate execution across the Manila-based team; Document best practices and SOPs.
Seniority
Senior, hands-on IC (via careerplan.io/jobs/R-01369154-analytics-lead-data-engineering-at-thermofisher)