big data analyst

In-Common LaboratoriesNorth York, ONJob Bankpublished 09/18/2026
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Must-have:PythonC#DataHealthTechSecuritySeniorLeadRemoteHybrid
  • *Position: Data Analyst *
  • *Reports to: *Senior Lead, Data Management
  • *Employment Type:* Permanent, full-time.
  • *Salary Range:* $70,200-$81,900 per year ($36.00-$42.00 per hours 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.
  • Strong 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 tro