- Position: Data Analyst
- Reports to: Senior Lead, Data Management
- Employment Type: Permanent, full-time
- Salary: $70,200–$81,900 per annum ($36.00–$42.00 per hour based on 1,950 hours), plus vacation pay
- Benefits: Comprehensive group benefits and private pension plan
- Location: Hybrid (remote and on-site)
- Work Environment: Inclusive, innovative, and growth-oriented culture at the forefront of laboratory referral testing.
- Primary Focus: Enterprise data operations and system integrations; SQL Server ETL and automation; reporting and analytics; data quality, security, and healthcare privacy.

The Opportunity: We are looking for an experienced Data Analyst to support enterprise data operations, system integrations, and reporting across business, clinical, and laboratory teams. This hands-on role works with Microsoft SQL Server, business intelligence tools, automated data processes, and secure data transfers in a healthcare environment where data accuracy, reliability, and privacy are essential.

If you enjoy working with data, troubleshooting complex issues, and developing reliable solutions, this role offers an opportunity to make a meaningful operational impact in healthcare.

Key Areas of Responsibility

- Support daily data operations and ensure timely, accurate data delivery.
- Perform data and order corrections in the Lab Information System (LIS) and related systems.
- Monitor and audit data transfers and automated processes.
- Write, optimize, and maintain SQL and T-SQL queries, procedures, and views.
- Develop and maintain Power BI and SSRS reports and dashboards.
- Investigate and resolve data quality, integration, reporting, and system issues.
- Support ETL pipelines, scheduled data jobs, and automated processes.
- Support KPI, operational, and management reporting.




- Work with stakeholders to translate business and reporting requirements into reliable data solutions.
- Maintain documentation for data processes, integrations, reporting logic, and system changes.
- Ensure appropriate handling and protection of Personal Health Information (PHI).
- Identify opportunities to improve data quality, automation, reporting, and operational efficiency.

Hands-on Experience Needed to Excel in This Role:
- Microsoft SQL Server and SQL Server Management Studio (SSMS).
- SQL and T-SQL for data analysis, troubleshooting, and reporting.
- SQL Server Reporting Services (SSRS).
- Power BI, including datasets, data refresh, publishing, and access control.
- Microsoft Excel and Power Query.
- Data correction and troubleshooting within LIS and related systems.
- Secure file transfers using SFTP and other file-based exchange methods.
- Automation, monitoring, and recovery of scheduled data jobs.
- SQL Server Integration Services (SSIS) and ETL processes is an asset.
- Scripting or programming using PowerShell, Python, C#/.NET, or similar technologies is an asset.

Qualifications :

Education

- Bachelor’s degree in computer science, Information Systems, Data Analytics, Software Engineering, or Health Informatics or an equivalent combination of education and hands-on experience.

Experience:
- Proven experience supporting SQL Server data, reporting, and integration environments.
- Solid SQL/T-SQL skills, including query optimization,



performance tuning, and data validation.
- Experience developing and maintaining Power BI reports and datasets.
- Experience with data integrations, ETL processes, and file-based data transfers.
- Experience working with sensitive or confidential data in a regulated environment.
- Familiarity with PHIPA and the handling of Personal Health Information (PHI).
- Experience using a Laboratory Information System (LIS) is an asset.
- Ability to manage multiple priorities in a time-sensitive operational environment.

Key Competencies:
- Strong attention to detail and commitment to data quality.
- Strong analytical and problem-solving skills.
- Proactive approach to troubleshooting and issue resolution.
- Ability to communicate effectively with technical and non-technical stakeholders.
- Solid documentation and organizational skills.
- Ability to work across data, reporting, integration, and enterprise systems.
- Strong commitment to data security, privacy, and confidentiality.
- Ability to work independently while collaborating effectively with cross-functional teams.

Why Join ICL? At In-Common Laboratories (ICL), we are dedicated to transforming lives through innovative healthcare and community support services.

- Meaningful mission with real health sector impact.
- Collaborative, supportive executive leadership.
- Opportunities to make an immediate impact, optimize operations, and expand your expertise.

Selection Process Transparency
- Artificial intelligence is not used to screen, assess, or select applicants.
- This posting is for an existing vacancy.

Equal Opportunity & Accessibility
- ICL is an equal opportunity employer. Accommodation for applicants with disabilities is available upon request.

📌 Data Analyst (North York)
🏢 In-Common Laboratories (ICL)
📍 North York