big data analyst
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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