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 requirementsPerform data profiling, data mapping, and data quality assessments across multiple source systemsDevelop complex SQL queries and data models to support reporting, reconciliation, and analytical initiativesWork with Snowflake and Databricks to design, transform, and manage large-scale datasetsBuild and maintain Python-based data processing and validation workflowsAnalyze financial reconciliation data, including transactions, general ledger, accounts payable, procurement, and related financial datasetsIdentify data discrepancies and support reconciliation processes through root cause analysisCollaborate with business, data engineering,



and technology teams to ensure data accuracy and consistencySupport data governance, metadata management, and documentation activitiesRequirements6+ years of experience in Data Analytics, Business Intelligence, or Data Engineering rolesStrong hands-on experience with SQL, Snowflake, Databricks, and PythonExperience in data mapping, data profiling, data validation, and data quality managementMandatory experience working with financial reconciliation dataStrong understanding of transaction-level data, general ledger (GL), procurement, accounts payable/receivable, and financial reporting processesExperience supporting finance, accounting, or enterprise reconciliation initiatives is highly preferredExperience working in cloud-based data environmentsExposure to data governance and master data management practicesFamiliarity with financial controls, audit, or reconciliation frameworksBenefitsSignificant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial workplace, with a high degree of individual responsibility.Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law. #J-18808-Ljbffr

📌 Data Analyst (Financial Planning And Analysis) - Canada (Toronto)
🏢 Tiger Analytics
📍 Toronto