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Senior Business Intelligence Specialist

Job in Toronto, Ontario, C6A, Canada
Listing for: Randstad Canada
Full Time position
Listed on 2026-08-04
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, AWS
Salary/Wage Range or Industry Benchmark: 110000 - 150000 CAD Yearly CAD 110000.00 150000.00 YEAR
Job Description & How to Apply Below

We are seeking an accomplished Senior Business Intelligence Specialist to lead the design, development, and optimization of enterprise analytics platforms, dimensional data warehouses, and AI-assisted BI solutions. In this role, you will build automated ETL/ELT pipelines, architect dimensional schemas, and engineer interactive Power BI dashboards. Working across a modern AWS cloud stack and complex API integrations, you will ingest, transform, and model healthcare and enterprise data to deliver secure, grounded, and high-performance business intelligence solutions.

Location:

Toronto, ON (Hybrid – onsite as needed)

Duration: 8-month contract

Public Sector

Experience:

Must Have.

Advantages
  • Cutting-Edge Tech Stack:
    Hands-on development using Power BI, AWS Glue, Amazon Redshift, AWS Bedrock, Python, and FHIR APIs.
  • Advanced AI & BI Integration:
    Drive innovation by building AI-assisted dashboards, natural language models, and vector-based analytics workflows.
  • End-to-End Pipeline Ownership:
    Lead initiatives from initial REST/FHIR API ingestion to dimensional modeling and executive visualization.
  • Hybrid Flexibility:
    Enjoy schedule flexibility with a hybrid work model based in Toronto.
Responsibilities
  • BI Dashboard & Analytics Engineering:
    Design, build, and maintain enterprise Power BI dashboards, reports, and semantic models, incorporating AI-assisted capabilities, natural language insights, and anomaly detection.
  • Data Warehouse Architecture:
    Design and implement enterprise data warehouse solutions on Amazon Redshift, constructing dimensional star and snowflake schemas, fact tables, and dimension tables.
  • ETL Pipeline Automation:
    Develop AWS Glue ETL/ELT pipelines using Python and SQL to ingest, transform, validate, and load high-volume datasets into data warehouse environments.
  • API & Healthcare Data Integration:
    Architect automated data ingestion workflows connecting REST APIs, FHIR/HL7 v2 APIs, Smile CDR, AWS Health Lake, NetIQ IAM, Pexip, Zoom, and Master Data Management systems.
  • Performance Optimization:
    Optimize Amazon Redshift query execution, indexing strategies, partitioning, and warehouse scalability for complex analytics queries.
  • Data Quality & Governance:
    Develop data validation, cleansing, reconciliation, and governance processes to ensure maximum data accuracy and security compliance using IAM and OAuth2/OIDC protocols.
  • AI & Grounding Validation:
    Evaluate AI accuracy, hallucination reduction, grounding, and response quality across integrated analytics workflows.
  • Documentation & Operations:
    Author deployment pipelines, operational documentation, and knowledge transfer materials, providing ongoing production support and analytics enhancements.
Qualifications
  • ETL & AWS Cloud Depth:
    Proven experience developing ETL and ELT processes using Python, AWS Glue, and AWS analytics services (Redshift, S3, Athena, Cloud Watch) (Strictly Required).
  • Data Warehousing & SQL Mastery:
    Advanced SQL skills and hands‑on experience designing dimensional data warehouses using star/snowflake schemas on Amazon Redshift (Strictly Required).
  • API & System Integrations:
    Demonstrated experience integrating data from REST APIs, databases, enterprise platforms, and specific endpoints such as Pexip, Zoom, and NetIQ IAM (Strictly Required).
  • Healthcare Interoperability Standards:
    Experience integrating healthcare data using FHIR (R4/R4B), HL7 v2, Smile CDR, AWS Health Lake, and SMART on FHIR (Strictly Required).
  • Identity & Security Controls:
    Hands‑on experience implementing role‑based security and secure access controls using IAM, OAuth2, and OIDC (Strictly Required).
  • AI Evaluation & Analytics:
    Experience evaluating AI accuracy, hallucination reduction, grounding, and response quality, with familiarity using AWS Bedrock and Power BI AI capabilities (Strictly Required).
  • Public Sector Expertise:
    Prior experience working within public sector IT and data environments (Strictly Required).

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies,…

Position Requirements
10+ Years work experience
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