Analytics Engineer, Data

Jobgether · Canada

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Analytics Engineer, Data based in Canada.

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.

Accountabilities:

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 (e.g., product usage, GTM systems) 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.

Requirements

3+ years of experience in analytics engineering, data engineering, or a closely related role with ownership of metrics or data models used across teams.
Strong expertise in SQL and data modeling (dimensional modeling, transformation pipelines, incremental models, and scalable architectures).
Proven experience building or maintaining a semantic/metrics layer that is widely adopted across an organization.
Hands-on experience working with cloud data warehouses (BigQuery preferred), BI tools (e.g., Looker), and modern data stacks (dbt, Airflow, or similar).
Experience integrating and structuring data for AI/LLM-driven workflows or agent-based analytics tools is highly valued.
Ability to build end-to-end data solutions, including ingestion, transformation, and modeling of new data sources.
Strong stakeholder management skills with the ability to translate business needs into technical data requirements.
A strong builder mindset focused on scalability, reuse, and enabling self-serve analytics across teams.

Benefits

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)
Opportunity to work at the forefront of AI-native analytics and LLM-powered data systems
Exposure to high-scale datasets and global enterprise customers
Strong emphasis on ownership, autonomy, and impact-driven engineering culture
Comprehensive benefits package including health coverage and additional employee perks.

Data & ML pay context

Based on 1,466 disclosed Data & ML salaries on RoleSuite, the role pays a median of $162K/year, with most offers between $127K and $203K (10th–90th percentile: $102K–$244K).

This posting lists $125K–$150K, below the $162K market median.

See the full Data & ML salary breakdown →

Apply →

Analytics Engineer, Data

Accountabilities:

Requirements

Benefits

Data & ML pay context

Other roles at Jobgether

More Data & ML roles