WorkSafeNB
Business Intelligence Analyst
Skills
19 days ago
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Important information
Contract type:
Permanent
Location:
New Brunswick, Canada
Work mode:
Remote
Published on:
8 October 2026
What they need
Work Remotely Anywhere in the Province of New Brunswick.
WorkSafeNB is seeking to fill a 2-year term contract position of Business Intelligence Analyst.
Reporting to the Reporting to the Director, Business Information Services, you will manage and enhance WorkSafeNB's data ecosystem by overseeing the intake, governance, quality, and architecture of data. This role aims to support data-driven decision-making by ensuring reliable data platforms, fostering data literacy, and delivering advanced analytics, visualizations, and insights. This enables the organization to meet its strategic goals through innovative and efficient data management and analysis, turning data into information, and enabling the business to make solid decisions based on data.
Salary and Hours of Work:
Hours of work are those required to perform the assigned tasks but shall not be less than 35 hours per week. Pay Scale: $82,971.90 to $97,614.00 annually.
- University graduate in information science, computer science, business or a related area. A two-year college diploma in relevant field with five years’ experience in project leadership on small to medium sized data projects involving relational databases would be considered.
- Three to five years’ experience in relevant roles including project leadership on small to medium sized data projects involving relational databases.
- Experience with Oracle Transactional Business Intelligence (OTBI) and BI Publisher
- Experience working with data visualization software (e.g., Tableau, Power BI, QlikView, SPSS, etc.)
- Experience in statistical analysis including regression, ANOVA, time series analysis and principal component analysis.
- Experience with Data governance frameworks, policy and guideline establishment (DAMA).
- Intermediate experience in Data Analytics.
- Understanding analytics data ecosystems, Data modeling and architecture principles.
- Understanding Data modeling and architecture principles.
- Understanding of Data validation and testing best practices.
- Understanding of Microsoft Fabric, Power automation, Azure SQL database and Microsoft Purview.
- Broad understanding of Data Platform and AI/ML.
- Basic understanding of ITSM and workflow management.
- Knowledge of visualization standards and best practices.
- Ability to communicate complex data and technical topics to a business audience.
- Ability to create end-user friendly presentations and documentations to guide users on technical and business specific reporting topics.
Competencies:
- Client-Focused Service
- Adaptability
- Teamwork and Collaboration
- Ensuring Accountability
- Analytical Thinking
- Attention to Detail
- Data Literacy
- Problem Solving
- Enabling Communication
- Requirements Analysis
Written and spoken competence in English is required.
WorkSafeNB is excited to extend a comprehensive benefits program to our term contract employees.
You’ll enjoy a range of valuable benefits designed to support your well‑being and success. Below is an overview of what we’re pleased to offer you:
- Health and Dental Coverage
- Basic Life and Accidental Death & Dismemberment (AD&D) Insurance
- Optional Dependent Life Insurance
- New Brunswick Public Service Pension Plan
- Competitive vacation and leave entitlements
- Online Doctors
- Personal Wellness Account
Your primary workspace will be from your in-home office, with the occasional expectation of in person meetings, for that reason, working from outside the province of New Brunswick, or country, is not permissible.
If you are interested in pursuing this opportunity with WorkSafeNB, please apply online at www.worksafenb.ca by October 26, 2026 .
We thank all those who apply however only those selected for further consideration will be contacted.
For more information about WorkSafeNB, or this and other employment opportunities, please visit our website at worksafenb.ca.
- Intake Management and Data Procurement & Analytics Support.
- Data Governance and Data Quality.
- Data Literacy.
- Data Visualization and Data as a Service (DaaS).
- Data Platform Development and Data Architecture.
- Advanced and Specialized Analysis.
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