Business Intelligence Analyst
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Our client requires an analyst for expanding a provincial healthcare analytics and AI-enabled data platform to support operational, clinical, executive, and business intelligence reporting across digital health programs. Responsibilities include building scalable enterprise analytics solutions using Power BI, Amazon Redshift, AWS Glue, Python, ETL/ELT pipelines and dimensional data modelling. Success in this role includes healthcare data integration, FHIR APIs, AI-assisted analytics, semantic search, and secure data governance. The platform will deliver actionable insights through dashboards, KPIs, provider activity reporting, referral analytics, service utilization metrics, forecasting, anomaly detection, and AI capabilities.
Work is hybrid and resource is required onsite as needed at client location in Toronto, ON.
Toronto, Ontario (Hybrid)
Responsibilities
Deliverables Include:
- Enterprise Power BI dashboards supporting operational, executive, clinical, and business reporting.
- AI-assisted Power BI reports incorporating natural language insights, forecasting, anomaly detection, KPI analysis, and interactive analytics where appropriate.
- Amazon Redshift enterprise data warehouse including dimensional models, star schemas, fact tables, dimension tables, views, and semantic models.
- AWS Glue ETL pipelines developed using Python for automated ingestion, transformation, validation, and loading of enterprise data.
- Automated data extraction processes from NetIQ IAM, Pexip, Zoom, Smile CDR, AWS HealthLake, PHSD operational databases, Provider Registry, Master Data Management, application logs, and other approved data sources.
- Enterprise data quality validation, reconciliation, governance, and monitoring processes.
- Operational dashboards supporting platform utilization, provider activity, referral analytics, system performance, user adoption, and executive reporting.
- Documentation for data models, ETL processes, report definitions, data lineage, metadata, operational procedures, and deployment processes.
- Automated deployment pipelines, testing procedures, production implementation support, and operational transition documentation
Mandatory Requirements
Mandatory Requirements Include:
- Public Sector experience is a must have
- 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 CloudWatch.
- Experience integrating healthcare data using FHIR, HL7 v2, Smile CDR, AWS HealthLake, 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
- 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 with AWS Bedrock
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 HealthLake, 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, CloudWatch, and related cloud services.
- Data quality management, governance, reconciliation, validation, and operational reporting.
- Strong analytical, communication, documentation, stakeholder engagement, and knowledge transfer skills.
Desirable Requirements
- 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 HealthLake, 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, CloudWatch, 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.
Job Posting ID: 56979
Location: Toronto, Ontario (Hybrid)
Estimated Starting Date: Aug 31, 2026
Estimated End Date: till Apr 23, 2027 + pos. extension
Posting Closing Date: August 5, 2026
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