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About the Role

The Data Analyst will support the analysis, reporting, and continuous improvement of data for Canada's 9-8-8 Suicide Crisis Helpline. This role will collaborate with various teams to ensure data accuracy and translate it into meaningful insights, while also supporting the development of the 9-8-8 Azure data environment and reporting infrastructure.

Responsibilities

Analyze large and complex datasets to identify trends, patterns, service gaps, and opportunities for improvement.
Develop and maintain reports, dashboards, and visualizations using Tableau and other reporting tools.
Monitor key service performance indicators and provide actionable insights to support operational and strategic decision-making.
Perform ad hoc analysis and respond to internal and external data requests.
Use SQL and Python to query, transform, validate, and analyze data.
Ensure accuracy, consistency, and timeliness of reporting.
Work with data in the 9-8-8 Microsoft Azure environment, including Azure Data Lake Storage, Azure Data Factory, and Azure SQL/SQL Managed Instance.
Collaborate with data engineers to support ETL/ELT processes, data pipelines, and new data integrations.
Monitor and investigate data quality, completeness, reconciliation, and transformation issues.
Support the development and maintenance of data models, reporting tables, and curated datasets.
Assist with testing and validating changes to data pipelines, business rules, and reporting logic.
Maintain clear documentation of data definitions, calculations, and processes.
Support data quality, governance, privacy, and security practices for sensitive crisis service data.
Work with internal teams and external partners to understand reporting and analytical requirements.
Prepare and validate data for funders, provinces/territories, service partners, and other stakeholders.
Communicate technical findings and analytical insights clearly to both technical and non-technical audiences.
Collaborate with research teams, project teams, clinical teams, and principal investigators to meet research goals, evaluate statistical data, and translate findings.

Requirements

Bachelor’s degree in Data Science, Statistics, Computer Science, Information Systems, or a related field; equivalent experience will be considered.
3+ years of experience in data analytics, business intelligence, reporting, or data operations.
Strong proficiency in SQL and experience using Python for data analysis and automation.
Experience developing dashboards and visualizations using Tableau, Power BI, or similar tools.
Experience working with relational databases, data warehouses, or data lake environments.
Experience with Microsoft Azure data services, particularly Azure Data Factory, Azure Data Lake Storage, and Azure SQL, is highly desirable.
Strong understanding of data quality, validation, reconciliation, ETL/ELT processes, and data modeling.
Strong analytical, problem-solving, communication, and organizational skills.
Ability to manage multiple priorities and work effectively with technical and non-technical stakeholders.
Experience with healthcare, mental health, crisis services, or contact centre data.
Experience working with JSON, Parquet, APIs, or large transactional datasets.
Familiarity with Git, source control, or development/testing environments.
Experience supporting advanced analytics, machine learning, or unstructured text analysis.
Bilingualism in French and English and/or proficiency in another language.

Skills

SQL
Python
Tableau
Power BI
Microsoft Azure data services
Azure Data Factory
Azure Data Lake Storage
Azure SQL
ETL/ELT processes
Data modeling
Data analysis
Business intelligence
Reporting
Data operations
Data quality
Data validation
Data reconciliation
JSON
Parquet
APIs
Git
Source control
Advanced analytics
Machine learning
Unstructured text analysis

Location

CAMH's Queen Street West location

Work Type

Full-time
Contract

Experience Level

3+ years of experience in data analytics, business intelligence, reporting, or data operations.

Education Level

Bachelor’s degree in Data Science, Statistics, Computer Science, Information Systems, or a related field; equivalent experience will be considered.

Salary/Compensations

$59,598.75 – $74,498.44 per year (based on qualifications and experience)
$59,598.75 – $89,398.13 (reflecting potential growth within the role)

Benefits

HOOPP defined benefit pension plan
Professional development opportunities
Job stability
Career development

About the Company

CAMH is a fully affiliated teaching hospital and research institute of the University of Toronto.
CAMH is dedicated to equity, diversity, and inclusion.
CAMH strongly encourages applications from candidates who reflect the diversity of the communities we serve, including First Nations, Métis, and Inuit Peoples; Black and other racialized communities; LGBTQ2S+ communities; women; and people with disabilities, including those with lived experience of mental health and substance use challenges.
Through its core values of Courage, Respect and Excellence, CAMH is implementing its Strategic Plan: Connected CAMH, to transform lives, ignite innovation and discovery, revolutionize education and drive social change.
CAMH is more than a hospital, it is a cause.
CAMH is on a mission to change the way society thinks about and responds to mental illness.
They aim to eliminate prejudice and discrimination and shape a world where mental illness is central to our healthcare system – a world where Mental Health is Health.
To learn more about CAMH, please visit their website at: www.camh.ca.
To view our Land Acknowledgment, please click here.

Equal Opportunity

CAMH is dedicated to equity, diversity, and inclusion. Our commitment is to foster a workplace, teaching, and learning environment that is inclusive, respectful, and free from discrimination or harassment.
CAMH strongly encourages applications from candidates who reflect the diversity of the communities we serve, including First Nations, Métis, and Inuit Peoples; Black and other racialized communities; LGBTQ2S+ communities; women; and people with disabilities, including those with lived experience of mental health and substance use challenges.
We welcome applicants from all backgrounds.