Job Description
Business Analyst – Data Engineer
Company: Government Of New Brunswick
Requisition Number: RQ00320
Client: Provincial Clinical Information Solution Program, Department of Health
Role: Business Analyst – Data Engineer
Location: Remote, with potential travel to New Brunswick as required
Duration: Two years, with optional extensions
Role Summary
Government Of New Brunswick is seeking an experienced Business Analyst – Data Engineer to support the Provincial Clinical Information Solution Program. The successful candidate will support Business Intelligence and data engineering initiatives related to the standardization and implementation of a unified provincial Clinical Information Solution.
The Business Analyst – Data Engineer will work with clinical, operational, technical, and business stakeholders to help plan, design, build, document, and support a shared analytics and data environment. The role will focus on data platform planning, data modelling, data pipelines, business intelligence enablement, data governance, privacy and security controls, and data quality practices.
Requirements
Mandatory Requirements
M1 – Education and Professional Background
The candidate must have a university degree in Information Technology, Health Informatics, Computer Science, or a related discipline, or an equivalent combination of relevant education and professional experience.
Related Duties
The candidate will apply their education and professional background to:
The candidate must have a minimum of ten years of progressive IM/IT experience, including significant hands-on responsibility as a data engineer or business intelligence developer in a cloud-based environment, supporting enterprise reporting or analytics solutions.
Related Duties
The candidate will be responsible for:
The candidate must have 7+ years of demonstrated experience working with healthcare data, including hospital and/or community data, at a multi-facility or enterprise level.
Related Duties
The candidate will be responsible for:
S1 – Stakeholder Collaboration and Technical Translation
The candidate must have 7+ years of demonstrated experience collaborating with clinical, operational, and technical stakeholders to translate business needs into technically sound data engineering or BI solutions.
Related Duties
The candidate will be responsible for:
The candidate must have 7+ years of demonstrated experience designing, building, and operating modern data platforms that support enterprise reporting and analytics, including data warehouses or lakehouses using layered architectures such as curated ingestion and dimensional models.
Related Duties
The candidate will be responsible for:
The candidate must have 7+ years of demonstrated experience working with Clinical Information Solution data structures and reporting environments, with sufficient understanding of clinical workflows to accurately interpret, validate, and troubleshoot data outputs.
Related Duties
The candidate will be responsible for:
The Business Analyst – Data Engineer may be responsible for producing or supporting the following deliverables:
The ideal candidate should demonstrate:
Business Analyst – Data Engineer
Company: Government Of New Brunswick
Requisition Number: RQ00320
Client: Provincial Clinical Information Solution Program, Department of Health
Role: Business Analyst – Data Engineer
Location: Remote, with potential travel to New Brunswick as required
Duration: Two years, with optional extensions
Role Summary
Government Of New Brunswick is seeking an experienced Business Analyst – Data Engineer to support the Provincial Clinical Information Solution Program. The successful candidate will support Business Intelligence and data engineering initiatives related to the standardization and implementation of a unified provincial Clinical Information Solution.
The Business Analyst – Data Engineer will work with clinical, operational, technical, and business stakeholders to help plan, design, build, document, and support a shared analytics and data environment. The role will focus on data platform planning, data modelling, data pipelines, business intelligence enablement, data governance, privacy and security controls, and data quality practices.
Requirements
Mandatory Requirements
M1 – Education and Professional Background
The candidate must have a university degree in Information Technology, Health Informatics, Computer Science, or a related discipline, or an equivalent combination of relevant education and professional experience.
Related Duties
The candidate will apply their education and professional background to:
- Support data engineering, business intelligence, and analytics activities in a healthcare technology environment.
- Understand technical, business, clinical, and information management requirements.
- Collaborate with stakeholders to translate business and reporting needs into technical data solutions.
- Produce clear technical and business documentation related to data platforms, data modelling, BI reporting, and data validation.
- Support responsible management of healthcare data within a structured enterprise environment.
The candidate must have a minimum of ten years of progressive IM/IT experience, including significant hands-on responsibility as a data engineer or business intelligence developer in a cloud-based environment, supporting enterprise reporting or analytics solutions.
Related Duties
The candidate will be responsible for:
- Designing, developing, and supporting data engineering and BI solutions in a cloud-based environment.
- Planning and creating a data environment, including infrastructure, tools, access controls, and security protections.
- Supporting enterprise reporting and analytics solutions for clinical, operational, and administrative decision-making.
- Building and optimizing data extraction, transformation, and loading processes.
- Supporting code optimization, peer review, environment maintenance, monitoring, and operational support.
- Providing estimates and executing technical work required for data environment implementation.
- Ensuring the data environment is ready to support BI outputs for different decision-making levels.
The candidate must have 7+ years of demonstrated experience working with healthcare data, including hospital and/or community data, at a multi-facility or enterprise level.
Related Duties
The candidate will be responsible for:
- Working with hospital, community, clinical, operational, and administrative healthcare data.
- Supporting enterprise-level data initiatives across multiple facilities or stakeholder groups.
- Interpreting healthcare data requirements in collaboration with clinical and administrative stakeholders.
- Supporting the design of objectives, key results, performance indicators, and healthcare reporting structures.
- Helping ensure healthcare data is accurate, reliable, secure, and suitable for reporting and analytics.
- Supporting data documentation, lineage, classification, and sensitivity tracking.
- Contributing to a shared CIS data ecosystem that supports standardized clinical and operational decision-making.
S1 – Stakeholder Collaboration and Technical Translation
The candidate must have 7+ years of demonstrated experience collaborating with clinical, operational, and technical stakeholders to translate business needs into technically sound data engineering or BI solutions.
Related Duties
The candidate will be responsible for:
- Collaborating with clinical, operational, technical, and business stakeholders to understand data and reporting needs.
- Translating stakeholder requirements into data engineering, BI, and analytics solutions.
- Facilitating discussions between business users and technical teams.
- Ensuring defined requirements and information technology requirements are aligned.
- Supporting the interpretation of clinical and operational needs into technical design decisions.
- Maintaining close working relationships with business areas to support successful implementation.
- Documenting agreed requirements, technical assumptions, dependencies, and solution decisions.
The candidate must have 7+ years of demonstrated experience designing, building, and operating modern data platforms that support enterprise reporting and analytics, including data warehouses or lakehouses using layered architectures such as curated ingestion and dimensional models.
Related Duties
The candidate will be responsible for:
- Designing and supporting modern data platforms for enterprise reporting and analytics.
- Planning and building data warehouses, lakehouses, or similar data environments.
- Supporting layered data architectures, including ingestion, transformation, curated data layers, and dimensional models.
- Creating technical data platform and pipeline design artifacts.
- Supporting data modelling and architecture design activities.
- Optimizing data pipelines, transformations, and reporting-ready data structures.
- Ensuring the data platform can support BI dashboards, reporting frameworks, and operational decision-making tools.
The candidate must have 7+ years of demonstrated experience working with Clinical Information Solution data structures and reporting environments, with sufficient understanding of clinical workflows to accurately interpret, validate, and troubleshoot data outputs.
Related Duties
The candidate will be responsible for:
- Working with CIS data structures, reporting environments, and healthcare data sources.
- Understanding clinical workflows well enough to interpret and validate related data outputs.
- Troubleshooting data issues related to clinical, operational, and reporting requirements.
- Supporting data validation and testing activities for CIS-related reporting and BI outputs.
- Collaborating with clinical stakeholders and SMEs to confirm the accuracy and meaning of data outputs.
- Supporting the development of reporting frameworks aligned with clinical and operational needs.
- Documenting data lineage, data sources, data definitions, and reporting logic.
The Business Analyst – Data Engineer may be responsible for producing or supporting the following deliverables:
- Technical data platform and pipeline design
- Data modelling and architecture design artifacts
- Data engineering and BI standard operating procedures
- Business Intelligence and reporting framework
- Testing and data validation artifacts
- Go-live and cutover strategy
- End-to-end data lineage documentation
- Data classification and sensitivity register
The ideal candidate should demonstrate:
- Strong data engineering and business intelligence experience
- Cloud-based data platform experience
- Healthcare data and clinical information system knowledge
- Data modelling, data pipeline, and reporting architecture experience
- Stakeholder collaboration and technical translation skills
- Data governance, data privacy, and data security awareness
- Testing, validation, and troubleshooting skills
- Strong documentation and communication skills
- Ability to work in complex, multi-stakeholder healthcare environments