
Data Strategist
3 hours ago
Transformative data strategist required to spearhead the development of cutting-edge, cloud-based data infrastructure that fuels fundraising and supporter engagement.
The ideal candidate will design sophisticated data models, craft robust ETL pipelines, and enable predictive analytics to inform strategic decisions across the organisation.
This is a unique opportunity to apply technical data expertise to drive impact in a values-led organisation working to regenerate nature and protect the planet.
Key Responsibilities:
- Deliver and maintain a high-performing data warehouse: Lead the development and optimisation of the data warehouse in Google BigQuery to support scalable analytics, Artificial Intelligence (AI)/ Machine Learning (ML) workloads and an effective Customer Relationship Management platform.
- Design efficient data models for analytics and ML: Create structured, performant, and ML-ready data models using SQL and dbt, ensuring efficient storage, transformation, and accessibility.
- Develop and manage ETL pipelines: Build robust ETL processes leveraging GCP-native tools and Python to enable reliable data ingestion, transformation, and delivery across platforms.
Requirements:
- Data Engineering: Advanced experience with SQL (BigQuery and PostgreSQL preferred), Python, database management, ETL processes, data modelling (dbt) and preparing datasets for AI/ML applications.
- Cloud Technologies: Expertise with core GCP services such as BigQuery, Cloud Storage, and Cloud Functions (or similar services on other platforms such as AWS or Azure).
- Customer Data Platforms (CDPs): Hands-on experience working with CDPs such as the Salesforce Data Cloud.
Our organisation values diversity and is building a workforce that reflects the community we serve. We are an equal opportunities employer and encourage applications from individuals from diverse backgrounds.
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