Data Analytics Engineer
Core
Design, build, and maintain analytics-ready datasets, data models, and transformation logic to support reporting, dashboards, and operational workflows for a global humanitarian NGO.
Role type
Data Analytics Engineer
Builds
Analytics datasets, data models, and Power Platform integrations (Power BI, Power Apps, Power Automate)
Domain
Humanitarian aid / Non-profit / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL (advanced, CTEs, window functions), Python, ETL/ELT pipeline design, data warehousing concepts, dimensional modeling, Power BI, Git, Microsoft 365/Azure Entra ID
Preferred skills
dbt, Azure data services, data pipeline orchestration (Airflow, Dagster), automated data quality testing, Power Apps/Power Automate integration
Technologies
SQL, Python, Power BI, Power Apps, Power Automate, Git, Azure Entra ID, dbt, Apache Airflow, Dagster
Responsibilities
Design and maintain analytics-ready datasets and data models; Develop and optimize data transformation logic; Partner with stakeholders to translate requirements into datasets and visualizations; Troubleshoot data quality and pipeline issues; Enable downstream consumption of analytics outputs through reporting tools; Mentor junior team members and document solutions.
Seniority
Mid-level, hands-on IC