Data Analyst (Financial Planning and Analysis) - Canada
Remote · Toronto, Ontario, Canada
Job Summary
Data Analyst (FP&A) at Tiger Analytics focusing on analyzing financial reconciliation data, building SQL-based data models, and working with Snowflake/Databricks to transform and manage large-scale datasets. Responsibilities include partnering with business stakeholders to gather data requirements, performing data profiling and quality assessments, building and maintaining Python-based data processing workflows, and supporting data governance and metadata management. Skills emphasized: SQL, Snowflake, Databricks, Python, data mapping/validation/profiling, financial reconciliation data (GL, accounts payable, procurement), and collaboration with cross-functional teams. Location is Toronto, Canada with remote work option; strong emphasis on data accuracy and governance.
Required Qualifications
- 6+ years of experience in Data Analytics, BI, or Data Engineering roles
- Strong hands-on experience with SQL, Snowflake, Databricks, and Python
- Experience in data mapping, data profiling, data validation, and data quality management
- Mandatory experience working with financial reconciliation data
- Strong understanding of transaction-level data, GL, procurement, accounts payable/receivable, and financial reporting processes
- Experience supporting finance, accounting, or enterprise reconciliation initiatives is highly preferred
- Experience working in cloud-based data environments
- Exposure to data governance and master data management practices
- Familiarity with financial controls, audit, or reconciliation frameworks
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