Senior Analytics Developer - Platform Analytics

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What is The Role

We’re looking for a Senior Analytics Engineer to join our Platform Analytics team. In this role, you’ll focus on designing and evolving core analytical data models that power trusted, self-service analytics across Elastic. You’ll shape the underlying structure of our analytics layer—aligning definitions, improving usability, and enabling faster, more reliable insights for teams across the company.

This role goes beyond delivering within existing patterns. You’ll improve foundational modeling decisions, reducing rework, and establishing standards that scale.

What You Will Be Doing

• Design and build core analytical data models in BigQuery using dbt


• Refactor and restructure existing models to improve clarity, consistency, and ease of use


• Partner directly with solution teams to translate business needs into well-defined, reusable data models


• Define and enforce modeling standards, conventions, and layer contracts


• Standardize identifiers and business logic early in the transformation layer to reduce downstream complexity


• Centralize shared business rules and definitions to enable consistent, trusted analytics


• Explore and apply AI-assisted approaches, to improve analytics workflows

What You Bring 

• Strong expertise in Python and SQL and analytics data modeling


• 5+ years of experience in analytics engineering, data engineering, or a related role


• Hands-on experience designing analytics layers in BigQuery and dbt


• Proven ability to create analyst-friendly data models with clear structure and predictable behavior


• Experience setting standards and influencing how data is modeled and consumed across teams


• Strong analytical thinking and problem-solving skills


• Clear written and verbal communication skills

Bonus Points

• Experience working in a distributed or remote-first environment


• Familiarity with metric definitions, or semantic layers


• Experience applying AI or automation to analytics or data modeling workflows