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Senior Data Analyst (Part-Time)Upstaff • Fredericton, NB, ca
Senior Data Analyst (Part-Time)

Senior Data Analyst (Part-Time)

Upstaff • Fredericton, NB, ca
2 hours ago
Job type
  • Part-time
  • Quick Apply
Job description
Job Description

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
Client
 Service New Brunswick (SNB)
Project
 Symbio Clinical Information Solution (CIS)
Role
 Senior Data Analyst


Duration
 July 13, 2026 – July 12, 2028
Schedule
 Part-Time (2–3 days/week)
Standard Day
 7.5 Hours
Location
 Remote (Canada)
Travel
 Quarterly travel to New Brunswick as required
Business Days
 Approximately 3 or 2
Languag
 English & French
Openings
 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 #8025087-25 due 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
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Senior Data Analyst (Part-Time) • Fredericton, NB, ca

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