Senior Data Analyst (Part-Time)

This is a remote position.

Job Description – Senior Data Analyst (Part-Time)

Client: Service New Brunswick (SNB) – Symbio Program

Department: Clinical Information Solution (CIS) / Data Management

Location: Remote (Canada) with quarterly travel to New Brunswick as required

Duration: 2 Years (July 13, 2026 – July 12, 2028) with renewal options

Employment Type: Contract (Part-Time – Approximately 2–3 Business Days per Week)

Engagement Details

Item

Details

Service New Brunswick (SNB)

Symbio Clinical Information Solution (CIS)

Senior Data Analyst

July 13, 2026 – July 12, 2028

Part-Time (2–3 days/week)

7.5 Hours

Remote (Canada)

Quarterly travel to New Brunswick as required

Approximately 3 or 2

English & French

3

About the Opportunity

Service New Brunswick (SNB) is seeking an experienced   Senior Data Analyst to support the   Symbio Clinical Information Solution (CIS) Program , one of the largest healthcare transformation initiatives in New Brunswick.

The Symbio Program is replacing multiple legacy hospital information systems with a modern, integrated Clinical Information Solution (CIS). The successful consultant will play a critical role in defining data retention strategies, supporting healthcare data migration, establishing data quality standards, and ensuring regulatory compliance while preserving access to historical clinical information.

This engagement is   part-time (approximately 2–3 days per week) . Candidates must be available during standard SNB business hours and able to travel to New Brunswick at least once per quarter if required.

Requirements

Key Responsibilities

The Senior Data Analyst will be responsible for:

Data Requirements & Strategy

• Lead documentation and prioritization of health information retention requirements by application and data category.
  
• Define minimum viable datasets required for Clinical Information System (CIS) migration.
  
• Recommend strategies for historical data retention and post-migration access.
  

Data Validation & Quality

• Establish standards, processes, and validation methodologies to ensure data quality, integrity, and accuracy.
  
• Support development of data quality frameworks throughout migration and archival activities.
  
• Define data profiling requirements and validation criteria.
  

Master Data Management

• Work with Data Management specialists and clinical stakeholders to develop master data strategies.
  
• Manage core datasets including:
  
• Patients
  
• Providers
  
• Locations
  
• Ensure consistency and accuracy across enterprise healthcare data.
  

Data Mapping & Transformation

• Develop source-to-target data mapping rules.
  
• Create detailed ETL and transformation specifications.
  
• Support migration from legacy systems into the target Clinical Information Solution.
  

Stakeholder Collaboration

• Collaborate with:
  
• Clinical teams
  
• Health Information Management (HIM)
  
• Compliance teams
  
• IT teams
  
• Vendors
  
• Business stakeholders
  
• Gather and validate business and technical data requirements.
  
• Facilitate workshops and working sessions in both English and French.
  

Documentation

Develop and maintain comprehensive documentation including:

• Data Management Plans
  
• Data Specifications
  
• Retention Requirements
  
• Data Flow Diagrams
  
• Data Mapping Documentation
  
• Data Profiling Documentation
  
• Data Cleansing Rules
  
• Transformation Specifications
  
• Migration Framework Documentation
  

Data Migration Support

Support the implementation team by:

• Profiling legacy data
  
• Extracting healthcare datasets
  
• Deficient data identification
  
• Cleansing recommendations
  
• Migration validation
  
• Historical data management planning
  

Project Deliverables

The successful consultant will produce and contribute to:

• Detailed data requirements by application and data classification
  
• Enterprise data management plans supporting application decommissioning
  
• Comprehensive legacy data inventory
  
• Data profiling requirements and documented profiling processes
  
• Business-approved data cleansing rules and logic
  
• Source-to-target data mappings
  
• Data Migration Framework
  
• Data Management Plans
  
• Legacy Data Management Options
  
• Data Quality Framework
  
• Transformation specifications supporting CIS implementation
  

Mandatory Qualifications (M1–M7)

Candidates   must demonstrate the following:

M1

Bachelor's Degree in one of the following:

• Computer Science
  
• Business Administration
  
• Health Informatics
  
• Related discipline
  

Equivalent combinations of education and experience may also be considered.

M2

Minimum  7 years of demonstrated experience in:

• Gathering data requirements
  
• Validating business and technical data requirements
  
• Data extraction
  
• Data profiling
  
• Developing detailed ETL specifications
  

M3

Minimum  10 years of healthcare experience with emphasis on:

• Health Information Systems
  
• Healthcare technology
  
• Healthcare software
  
• Healthcare standards
  

M4

Minimum  5 years of experience delivering healthcare data migration projects involving   large-scale Clinical Information Systems (CIS)within   Canadian hospital environments , including:

• Specific CIS platforms
  
• Role in migration activities
  
• Healthcare data migration responsibilities
  

M5

Ability to facilitate meetings and workshops in:

• English
  
• French
  

M6

Resume must:

• Be a maximum of 5 pages
  
• Focus on Scored Requirements
  
• Focus on Project Deliverables
  

M7

Candidate must not be a prime respondent or subcontractor/partner associated with   RFP #8025087-25due to Conflict of Interest requirements.

Scored Qualifications (S1–S6)

Strong preference will be given to candidates with demonstrated experience in:

S1 – Healthcare Data Assessment & Conversion (5+ Years)

• Healthcare data assessment
  
• Data cleansing
  
• Large healthcare dataset conversion
  
• Data migration
  
• System integration
  
• Reporting initiatives
  

S2 – Business & Clinical Collaboration (5+ Years)

Experience collaborating with:

• Business stakeholders
  
• Clinical stakeholders
  

Including:

• Data requirements gathering
  
• Dataset prioritization
  
• Target-state profiling
  
• Data quality metrics
  
• Validation requirements
  

S3 – Data Governance (5+ Years)

Strong knowledge of:

• Data Modeling
  
• Data Governance
  
• Data Quality Management
  
• Enterprise Data Standards
  
• Best Practices
  

S4 – Data Analytics Tools (3+ Years)

Hands-on experience with:

• SQL
  
• Microsoft Excel