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RQ00734 - Business Intelligence Specialist - Senior

Temporary

Maarut

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 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
  • 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 HealthLake, 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 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.

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.

Evaluation Criteria:

  • Business intelligence, dashboard development, Power BI reporting, semantic models, executive reporting, KPI development, and AI-assisted analytics experience.  25 Points
  • Enterprise data engineering experience including Amazon Redshift, AWS Glue, Python, SQL, dimensional modelling, ETL/ELT development, and enterprise data warehouse design.  25  Points
  • Healthcare analytics and interoperability experience including Smile CDR, AWS HealthLake, FHIR R4/R4B, HL7 v2, NetIQ IAM, Pexip, Zoom, healthcare APIs, and enterprise healthcare data integration.  25  Points
  • Experience working with digital health assets including PHSD, Hospital Report Manager (HRM), Enterprise Master Data Management, stakeholder engagement, documentation, and knowledge transfer.  25  Points

Requirements

Deliverables:

  • 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. 

Must Haves:

  • 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

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