Evaluation and Data Analyst

CASA Mental Health; Edmonton; Hybrid; Full time

Job summary

A mental health organization is seeking an Evaluation and Data Analyst to develop evaluation frameworks and improve quality in healthcare. The role offers a hybrid work model, requiring expertise in data analysis, evaluation methods, and statistical programming. The ideal candidate has advanced degrees in health-related fields and excellent communication skills. This position promises competitive compensation and a commitment to mental health improvement.

Qualifications

• Master’s degree or PhD in a health-related field such as epidemiology or public health.
• Experience developing evaluation plans within a healthcare environment.
• Experience analyzing qualitative and/or quantitative data.

Responsibilities

• Develop evaluation frameworks in collaboration with clinical teams.
• Monitor and report on key performance indicators.
• Translate healthcare data into insights and recommendations.

Skills

Data analysis

Evaluation frameworks

Statistical programming (e.g., R)

Communication skills

Microsoft Office Suite

Education

Master’s degree or PhD in health-related field

Tools

R

SPSS

SQL

Job description

Join CASA Mental Health in shaping a brighter future for children, youth and families by providing them with timely mental health care and empowering them to thrive.

Job Details
Salary range: $34.99 to $45.74
Shift structure: Monday to Friday, 7.25 hours per day
Primary location: CASA Downtown
Union: In-scope
Classification: Evaluation and Data Analyst
FTE: 1.0
Status: Permanent

About the Role:
The Evaluation and Data Analyst works collaboratively within a multi-disciplinary team to develop and implement evaluation activities for continuous clinical and organizational quality improvement. This role offers a hybrid arrangement between work-from-home and CASA’s downtown office.

The Evaluation and Data Analyst will:

• Develop and implement program-specific logic models and evaluation frameworks in collaboration with clinical leadership and clinical teams.
• Contribute to the development and implementation of an organization-wide evaluation framework.
• Apply appropriate use of quantitative and qualitative methodologies and approaches to evaluation (e.g., evaluation design, measure selection/development, data collection, data analysis).
• Identify, monitor and report on key performance indicators (KPIs) and targetsat the clinical program and organizational level.
• Collect, enter and clean data for analysis.
• Work with spreadsheets and databases, including using programming languages such as R to extract and integrate data from multiple sources and automate processes.
• Ensure data quality and integrity.
• Respond to data and reporting requests as needed.
• Translate healthcare data into insights and recommendations.
• Prepare internal and external reports for various stakeholders including funders and community partners, and CASA’s Board of Directors, Senior Leadership Team and clinical leadership.
• Prepare a variety of communication and knowledge translation materials such as reports, infographics and presentations.

Qualifications

• Master’s degree or PhD in a health-related field, such as epidemiology, program evaluation, public health, health sciences, medicine or psychology.
• Experience developing evaluation plans and/or frameworks, preferably within a healthcare environment.
• Experience applying research and evaluation methods.
• Experience analyzing qualitative and/or quantitative data
• Excellent organizational, interpersonal and communication skills.
• Proficiency in a minimum of one statistical programming language such as R, SAS, SPSS, STATA, Python or SQL.
• Knowledge of data quality management practices.
• Advanced skills in Microsoft Office Suite.
• Class 5 driver’s license with access to a reliable vehicle.

Conditions of Employment

• A satisfactory Criminal Records Check with Vulnerable Sector Search. This would be the financial responsibility of the successful candidate.

Closing Date: August 22, 2025
Please quote the following competition number in your application materials: 25-164