Top Data & Analytics Jobs

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.

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.

The Data Analyst will analyze data from multiple sources to generate business insights and support strategic decision-making. Responsibilities include developing metrics, dashboards, experiments, analyses, data frameworks, and behavioral insights in collaboration with analysts, engineers, and data scientists. The role requires strong SQL expertise, statistical analysis using Python or R, Looker experience, data storytelling, and stakeholder management skills.

Supports the Revenue team by creating and maintaining Looker reports, dashboards, and visualizations. Gathers, cleans, and analyzes data from multiple sources to identify operational insights, maintain data accuracy, and improve revenue performance. Enables non-technical stakeholders to use reporting tools, supports leadership performance reviews, and provides ad hoc analysis for process improvements. Uses AI tools to accelerate data cleaning, reporting, documentation, and insight summarization.

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.