Build & Maintain: Design and construct robust data warehouses and build scalable ETL/ELT pipelines to ensure data is clean, reliable, and accessible.
Map the Ecosystem: Play a key role in building out our enterprise architecture. You will map data flows across various siloed departments, understanding the complete lifecycle of how data is created, transformed, and consumed across the system.
Fuel AI Innovation: Build and optimize data pipelines that are not just report-ready, but AI-ready, ensuring our infrastructure can support advanced machine learning models, predictive analytics, and AI-driven business solutions.
Visualize & Storytell: Collaborate directly with business analysts and departmental leaders to translate complex data into meaningful, user-friendly dashboards and visualizations.
Adapt & Innovate: Pivot seamlessly as client needs evolve, applying a solid conceptual understanding of data to solve dynamic business problems.
Advise & Communicate: Act as a bridge between highly technical data systems and strategic business goals, communicating insights clearly to non-technical stakeholders.
As a Senior team member, you will be expected to actively participate in our hiring processes by serving on interview panels for future roles across the company.

Proven Experience: A strong track record as a mid-tier professional in data analytics, data engineering, analytics engineering, or a related field.
Education: A relevant university degree is preferred.
Solid Conceptual Foundation: Deep, foundational knowledge of data modeling, warehousing, and analytics concepts. We care more about your ability to learn and adapt than your memorization of a specific syntax.
Architectural Mindset: Experience (or a strong interest) in enterprise architecture, data lineage, and mapping complex data flows across large organizations.
Exceptional Communication: The ability to work seamlessly as a remote, solo contributor while maintaining highly collaborative relationships with cross-functional stakeholders.

Analytics Engineer

Key skills