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 strong 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 acti