Senior Data Analyst

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 Support
Coordinate and oversee data entry and document management activities to ensure quality and accuracy.

Identifying changes to project plans and raising awareness to research leads to confirming and approving action from research leads.

Monitor…