Senior Analytics Engineer - Platform Analytics - Kibana Platform - AppEx
Listed on 2026-02-28
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IT/Tech
Data Analyst, AI Engineer, Data Science Manager, Data Engineer
Canada
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.
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 Big Query 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
- Strong expertise in 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 Big Query 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
- 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
Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below.
These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.
An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company‑matched Registered Retirement Savings Plan (RRSP) with dollar‑for‑dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well‑being.
The typical starting salary range for this role is:
$128,300 - $203,000 CAD
Additional Information - We Take Care of Our PeopleAs a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your…
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