Analytics Engineer

Jobgether • Canada

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Build trusted data foundation for self-serve insights, partner with stakeholders, and expand semantic layer.

Key Highlights

Partner with product, GTM, and executive stakeholders to translate business questions into metrics and datasets.

Own and expand the semantic/metrics layer, ensuring consistent definitions and reusable models.

Design, build, and maintain scalable data models that support self-serve analytics and LLM/agent-driven querying.

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Key Responsibilities

Partner with product, GTM, and executive stakeholders to translate ambiguous business questions into clearly defined metrics, datasets, and analytical solutions.

Own and expand the semantic/metrics layer, ensuring consistent definitions, reusable models, and trusted business logic across the organization.

Design, build, and maintain scalable data models that support self-serve analytics and LLM/agent-driven querying.

Improve data trust by implementing validation logic, documentation standards, and metric governance frameworks.

Develop and operationalize pipelines to ingest new data sources and integrate them into the analytics ecosystem.

Enable AI-driven analytics workflows by structuring metadata, datasets, and metrics for consumption by LLM-based tools.

Support reporting, dashboards, and curated datasets that empower internal teams to answer their own questions independently.

Technical Skills Required

SQL Data modeling Cloud data warehouses (BigQuery)

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Benefits & Perks

Competitive compensation aligned with Canadian market benchmarks (approx. CAD $125,000 - $150,000 base range)

Equity participation and performance-based bonus structure

Fully remote work environment with flexible collaboration across time zones (EST/EDT aligned)

Job Description

This role sits at the intersection of analytics engineering, data modeling, and AI-enabled decision systems, focused on building the trusted data foundation that powers self-serve insights across the organization. You will act as the bridge between business stakeholders and data systems, translating ambiguous questions into well-defined, reusable metrics and scalable data models. A core part of your impact will be expanding and maintaining a semantic layer that ensures consistency, trust, and accessibility across analytics workflows. You will also help enable LLM-powered analytics experiences, ensuring data is structured and enriched for agentic querying and automated insight generation. This is a highly collaborative, builder-focused role where success is measured by how much clarity and autonomy you create for others. You will work across product, go-to-market, and leadership teams in a fully remote, AI-native environment.

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