RQ00734 - Business Intelligence Specialist - Senior

RQ00734 - Business Intelligence Specialist - Senior

Posted On 30/07/2026

Term 164 Days

Assigned Recruiter(s) Sweta Singh

Job Opening

Technology

Number of Positions 1

Work Experience 10+ Years

City Toronto

State/Province Ontario

M4C

Must Haves:

• Senior experience designing and developing enterprise Business Intelligence and analytics solutions.
• Extensive experience developing Power BI dashboards, reports, semantic models, and datasets.
• Experience developing dimensional data warehouses using star and snowflake schemas.
• Experience developing ETL and ELT processes using Python and AWS Glue.
• Experience developing SQL for Amazon Redshift and relational databases.
• Experience integrating data from REST APIs, databases, cloud platforms, and enterprise applications.
• Experience with AWS analytics services including Redshift, Glue, S3, Athena, and Cloud Watch.
• Experience integrating healthcare data using FHIR, HL7 v2, Smile CDR, AWS Health Lake, and healthcare APIs.
• Experience implementing secure data access using IAM, OAuth2/OIDC, and role-based security.
• Strong SQL, data modelling, analytics, and performance optimization experience.
• Experience evaluating AI accuracy, hallucination reduction, grounding, and response quality.
• Experience with Pexip and Zoom APIs and data structures
• Experience with NetIQ IAM APIs and data structures
• Experience with AWS Bedrock

Responsibilities:

• Design, develop, and maintain enterprise Power BI dashboards supporting operational, executive, clinical, and business reporting.
• Develop AI-assisted dashboards utilizing Power BI Copilot, natural language queries, AI visualizations, forecasting, anomaly detection, and intelligent insights where appropriate.
• Design and implement enterprise data warehouse solutions using Amazon Redshift.
• Develop dimensional star schemas, fact tables, dimension tables, and semantic models supporting enterprise reporting.
• Develop AWS Glue ETL pipelines using Python to ingest, transform, validate, and load data into Amazon Redshift.
• Develop automated data ingestion processes from NetIQ IAM, Pexip, Zoom, Smile CDR, AWS Health Lake, Provider Registry, Master Data Management, PHSD operational databases, application logs, and other provincial digital health assets.
• Develop data quality validation, cleansing, reconciliation, and governance processes supporting analytics accuracy.
• Optimize Redshift performance, partitioning, indexing strategies, query execution, and warehouse scalability.
• Develop operational KPIs, healthcare utilization metrics, provider activity reports, referral analytics, platform adoption reporting, and executive dashboards.
• Collaborate with business stakeholders to gather reporting requirements and develop meaningful analytics solutions.
• Develop deployment pipelines, documentation, operational procedures, and knowledge transfer materials.
• Support production implementation, troubleshooting, report optimization, and ongoing analytics enhancements.

Desired

Skills:

• Business intelligence solution design, dashboard development, and enterprise reporting using Microsoft Power BI.
• Enterprise data warehouse design including dimensional modelling, star schemas, fact tables, dimension tables, and semantic models.
• ETL and ELT development using Python, AWS Glue, SQL, and Amazon Redshift.
• Advanced SQL development, query optimization, and performance tuning.
• Data integration from REST APIs, FHIR APIs, Smile CDR, AWS Health Lake, NetIQ IAM, Pexip, Zoom, Provider Registry, Master Data Management, and enterprise databases.
• Healthcare analytics using FHIR R4/R4B, HL7 v2, SMART on FHIR, and healthcare interoperability standards.
• AI-assisted analytics including Power BI AI capabilities, natural language insights, forecasting, anomaly detection, and intelligent reporting.
• AWS analytics services including Amazon Redshift, AWS Glue, S3, Athena, IAM, Cloud Watch, and related cloud services.
• Python Glue shell experience
• Experience with Pexip and Zoom APIs, extracting data for analytics
• Data quality management, governance, reconciliation, validation, and operational reporting.
• Strong analytical, communication, documentation, stakeholder engagement, and knowledge transfer skills.

Required Skills:

• Business intelligence solution design, dashboard development, and enterprise reporting using Microsoft Power BI.
• Enterprise data warehouse design including dimensional modelling, star schemas, fact tables, dimension tables, and semantic models.
• ETL and ELT development using Python, AWS Glue, SQL, and Amazon Redshift.
• Advanced SQL development, query optimization, and performance tuning.
• Data integration from REST APIs, FHIR APIs, Smile CDR, AWS Health Lake, NetIQ IAM, Pexip, Zoom, Provider Registry, Master Data Management, and enterprise databases.
• Healthcare analytics using FHIR R4/R4B, HL7 v2, SMART on FHIR, and healthcare interoperability standards.
• AI-assisted analytics including Power BI AI capabilities, natural language insights, forecasting, anomaly detection, and intelligent reporting.
• AWS analytics services…