Data Analyst (Financial Planning and Analysis) - Canada

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Various market research firms, including Forrester and Gartner have recognized our business value and leadership. We are seeking a highly motivated Data Analyst with strong data engineering and analytics experience to support business stakeholders in driving data-driven decision-making. The ideal candidate will possess strong expertise in SQL, Snowflake, Databricks, and Python, along with hands-on experience working with financial reconciliation data, including transaction, ledger, and procurement datasets Job Duties: Partner with business stakeholders to gather, analyze, and document data requirements. Perform data profiling, data mapping, and data quality assessments across multiple source systems. Develop complex SQL queries and data models to support reporting, reconciliation, and analytical initiatives. Work with Snowflake and Databricks to design, transform, and manage large-scale datasets. Build and maintain Python-based data processing and validation workflows. Analyze financial reconciliation data, including transactions, general ledger, accounts payable, procurement, and related financial datasets. Identify data discrepancies and support reconciliation processes through root cause analysis. Collaborate with business, data engineering, and technology teams to ensure data accuracy and consistency. Support data governance, metadata management, and documentation activities.