Analytics Engineer

Movable Ink

. Build and maintain dbt models from the business vault layer through to the data mart .

Posted 9/18/2026full-timeRemote • CanadaMid-LevelSenior💰 CA$110,000 - CA$135,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining dbt models and AI-ready datasets, with strong SQL skills and proficiency in Tableau for data visualization. Collaborates effectively with business stakeholders to define metrics and translate complex data needs into actionable insights.

Highest-signal resume keywords

Dbt Model DevelopmentSQL ProficiencyTableau Dashboard CreationDimensional ModelingGit-Based Workflows

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Analytics EngineeringData AnalyticsModel WritingData DocumentationData Mart DevelopmentBusiness Vault ModelingData Dictionary MaintenanceReporting Metrics DefinitionData AnalysisData Source Integration

Soft Skills

CollaborationCommunicationProblem-Solving

Tools & Technologies

TableauOpenMetadataCloud Data WarehouseGit

Industry Keywords

Kimball-Style DatasetsBusiness IntelligenceData MartData PipelineData Lineage

Tech Stack

Tools & technologies

CloudSQLTableauVault

About the role

Key responsibilities & impact

Build and maintain dbt models from the business vault layer through to the data mart
Add fields, refine calculations, and extend existing mart models in collaboration with the BI and Enterprise Data teams
Build new Kimball-style datasets from business vault sources when no new ingestion is required
Build and maintain AI-ready datasets for internal AI systems, ensuring structured, documented, and reliable data
Maintain and enrich the data dictionary in OpenMetadata, including definitions, lineage, and field-level documentation
Partner with business stakeholders to define reporting metrics and translate ambiguous business questions into clear definitions
Partner with BI Analysts to translate insight needs into modeling requirements
Build Tableau dashboards and reports for stakeholders, keeping logic in the data layer and Tableau data sources free from complex calculations

Requirements

What you’ll need

4+ years of experience in analytics engineering, data analytics, or a similar role
Hands-on dbt experience, including writing models, tests, and documentation in a production environment
Strong SQL skills, particularly in a cloud data warehouse context
Familiarity with dimensional modeling concepts, including facts, dimensions, and slowly changing dimensions
Experience delivering analysis or dashboards to business stakeholders, not just building pipelines
Proficiency in a business intelligence tool; Tableau preferred
Experience conducting analyses involving multiple data sources and systems
Comfort working in Git-based workflows, including branching, pull requests, and code review

Benefits

Comp & perks

Additional bonus depending on the position ultimately offered
Medical benefits
Financial benefits
Other benefits