Top Data & Analytics Jobs

Develop and maintain dbt-based ELT pipelines, scalable data models, quality tests, documentation, and optimized SQL workflows in cloud data warehouses. Partner with analysts, business users, and data engineers to support reporting needs and platform performance. Build Looker visualizations and promote modern data engineering practices, including Git, CI/CD, testing, lineage, automation, and orchestration.

Build and maintain dbt-based ELT pipelines and scalable data models in Snowflake or similar cloud warehouses. Ensure data quality through testing, monitoring, documentation, lineage, and CI/CD practices. Optimize SQL queries and warehouse performance, develop Looker visualizations, and collaborate with data engineers, analysts, and business users. Champion modern data-stack adoption, with preferred experience in Python, semantic layers, Airflow, and software engineering practices for data.

Serve as the primary data consultant for a business domain: define data strategy, shape and prioritise demand, triage ad-hoc requests, perform lightweight SQL/Looker analysis, track value realization, and drive adoption and data literacy across stakeholders while partnering with Data teams to deliver scalable data products.

Serve as the primary data consultant for a business domain, translating stakeholder needs into prioritized data product requirements, conducting lightweight ad-hoc analysis (SQL, Looker), triaging requests, tracking business value and ROI, and enabling teams to self-serve while ensuring data quality, adoption and measurable impact.