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

Requirements

6+ years of experience in Data Analytics, Business Intelligence, 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, general ledger (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

Perks
Significant 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 environment, 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 (Ontario)
🏢 Tiger Analytics
📍 Ontario