Research Data Analyst supporting data analytics and research activities at Scarborough Health Network. Collaborating with investigators and utilizing statistical expertise for research projects.
About the role
- Data Engineer transforming complex data sources into structured datasets for audit insights. Collaborating with audit professionals using tools like Power BI and ensuring data quality and governance.
Responsibilities
- Design and implement ETL processes to consolidate and clean data from various sources including Snowflake, Databricks, SQL databases, Excel files, SharePoint lists, and unstructured data sources.
- Acquire business context through walkthroughs and stakeholder engagement to ensure audit-relevant data is appropriately understood and used.
- Ensure data models are optimized for performance and usability.
- Validate data outputs against business reports and known benchmarks to ensure accuracy and completeness.
- Implement data quality checks and reconciliation processes.
- Handle sensitive data securely, following internal policies and regulatory standards.
- Apply appropriate data protection techniques (e.g. masking, encryption) and manage access controls.
- Work closely with auditors to understand data requirements and provide technical support.
- Document data flows, transformations, and business logic for transparency and auditability.
- Help improve the audit team data literacy by documenting data fields and libraries.
- Identify opportunities to automate and streamline data preparation and update processes.
- Stay current with best practices in data engineering and analytics.
Requirements
- 2-5 years of experience in data development and data engineering
- Strong ETL skills and experience working with relational databases
- Strong knowledge of SQL and working level knowledge of programming language Python
- Strong documentation practices, experience working with GitHub and Confluence
- Experience working with structured, semi-structured, and unstructured data sources
- Understanding of data governance, validation, and reconciliation techniques, as well as good security practices
- Excellent problem-solving skills and attention to detail
- Strong communication skills and ability to work collaboratively with non-technical stakeholders
- For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English-speaking colleagues across the country.
Benefits
- Opportunities for professional growth and development in data and analytics
- Collaborate with a dynamic and supportive team
- Work on impactful projects that support transparency and accountability
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