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.

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.

Senior Data Analyst

Key skills