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Senior Data Analyst, Fixed Term - Toronto

BASIC/DEPT® Toronto, Canada
55 CADper hour
Employment contract Full-time Remote work

Publication date: 08/11/2026

Senior Data Analyst role to transform raw data into trusted, well-modeled datasets using dbt, then design, build, and validate customizable dashboard templates on top of them. The role works closely with product, client-facing teams, and engineering to turn client use cases into reliable, well-built dashboards. This is a 3 month fixed term salaried contract, preferably in Toronto, Ontario, Canada. The anticipated hourly range is $55 hourly, based on a 40-hour workweek and leveling.

Responsibilities

Gather and document client dashboard use cases with relationship managers and client-facing teams, and translate them into clear reporting requirements; Build and maintain data models in dbt, transforming raw source data into staging, intermediate, and reporting layers that power dashboards; Design the reporting layer to support client-specific configuration; Implement data quality tests, validation checks, and monitoring in the transformation layer; Design, build, and test reusable dashboard templates with a configurable layer for client-specific needs; Support with demos, requirements capture, and follow-up analysis; Validate data accuracy and visual consistency between legacy and migrated dashboards; Document models, templates, and configuration clearly and consistently, including dbt model documentation and lineage; Track delivery risks, dependencies, and priorities, and communicate status to program leadership

Requirements

5+ years as a Data Analyst, BI Analyst, Analytics Engineer, or similar role; 2+ years building production dashboards in an enterprise BI platform; 2+ years of hands-on dbt experience (models, tests, macros, documentation); Advanced SQL, including performance tuning on large datasets; Proven experience modeling raw, unprepared data for reporting and analytics (e.g., dimensional modeling, star schemas); Experience with Git-based version control and code review workflows; Experience with a cloud data warehouse; Experience gathering requirements from non-technical and client stakeholders; Strong documentation habits; Clear communication, including with senior stakeholders; Ability to deliver independently in a fast-paced environment with minimal ramp-up
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