Organizational Context The Canadian Centre of Recovery Excellence (CoRE) is a trailblazing Crown corporation backed by the Government of Alberta, dedicated to transforming the recovery journey for individuals facing mental illness and addiction. By providing decision-makers with cutting-edge data, evidence, and actionable insights, CoRE paves the way for impactful recovery solutions.
Through groundbreaking research, world-class data and analytics, expert guidance, and robust collaborations, CoRE is driving meaningful change at every level of the system. With an unwavering commitment to real-world results, CoRE is not just supporting recovery — it’s shaping a brighter future for all Albertans.
As a trusted advisor to governments, healthcare professionals, and global leaders, CoRE empowers communities to deliver recovery-focused mental health and addiction services that truly make a difference.
Position Summary The Senior Data Analyst applies specialized knowledge and skills to support CoRE’s system-level research and evaluation projects through data management, analysis, visualization, and reporting. This includes data extraction, linkage, cleaning, transformation, validation, and preparation of datasets for research and evaluation activities. The role analyzes and visualizes data to identify trends, patterns, performance measurements, and outcomes across the mental health and addiction system, helping to inform evidence-based decision-making.
The Senior Data Analyst uses data management tools, statistical techniques, and business intelligence platforms to prepare datasets, generate insights, and develop dashboards, visualizations,



and reports for a variety of audiences. The role presents and explains findings to both technical and non-technical stakeholders, including leadership, and works collaboratively with project teams to integrate data requirements, reporting, and analytical activities into project plans and timelines.
Responsibilities 1. Data Analytics and Visualization Plan and complete various analytics using data generated from both secondary and primary data sources across the mental health and addiction system (e.g., descriptive statistics, sampling, power analysis, randomization, regression modelling, psychometrics).
Manage data processing activities for research and evaluation projects, including data extraction, integration, linkage, transformation, cleaning, and preparation for statistical analysis.
Collaborate with research, evaluation, and operational teams to understand information needs, prepare analytical datasets, and support project deliverables.
Liaise with internal and external stakeholders, including health informatics and research partners, to facilitate data access, reporting, and information-sharing activities.
Design, develop, and maintain dashboards, data visualizations,



and reporting products that communicate findings and key performance indicators to diverse audiences.
Create charts, graphics, and visual reporting materials for reports, presentations, and knowledge translation products.
2. Data Practice and Governance Establish and maintain data quality processes to ensure the accuracy, completeness, and integrity of research and evaluation data.
Follow and promote privacy, confidentiality, and security protocols/procedures in clinical and non-clinical settings.
Identify gaps and opportunities to improve data sources, data quality, reporting processes, and data management practices, and provide recommendations for enhancement
Provide inputs to the identification of opportunities to upgrade supported statistical and analytical models.
Provide guidance and training to project teams to enhance their understanding of how various statistics and analytics can shape project objectives and outcomes.
Maintain research and evaluation datasets, documentation, and participant electronic records in accordance with data governance, privacy, and security requirements.
3. Research and Evaluation Support Support research and evaluation projects by providing data expertise throughout project design, data collection planning, and analytical plan development.
Prepare, manage, and document datasets, scripts, technical notes, decision logs, and references.
Contribute to manuscript drafting.
Contribute to evaluation planning, performance measurement, information synthesis, and report development.
4. Project Coordination and Delivery Suppo
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📌 Senior Data Analyst (Alberta)
🏢 Canadian Centre of Recovery Excellence
📍 Alberta