Data Analyst (Financial Planning and Analysis) - Canada

About the company

Tiger Analytics is an advanced analytics consulting firm that supports major enterprise clients, including several Fortune 100 organizations, in turning data into measurable business impact. The company’s team combines expertise across data science, data analytics, data engineering, business intelligence, machine learning, and artificial intelligence. Its work has been recognized by research firms such as Forrester and Gartner for business value and leadership.

Role overview

The organization is looking for a driven Data Analyst who brings solid data engineering and analytics experience to help business teams make informed, data-backed decisions. This role calls for strong practical knowledge of SQL, Snowflake, Databricks, and Python, plus direct experience with financial reconciliation data such as transaction, ledger, and procurement datasets.

Key responsibilities

• Work closely with business stakeholders to understand, gather, analyze, and record data needs.
• Carry out data profiling, mapping, and quality checks across multiple source systems.
• Write advanced SQL queries and create data models that support reporting, reconciliation, and analytics work.
• Use Snowflake and Databricks to design, transform, and manage large data sets.
• Develop and support Python-based data processing and validation routines.
• Examine financial reconciliation information, including transactions, general ledger data, accounts payable, procurement, and related finance datasets.
• Spot inconsistencies in data and assist reconciliation efforts through root cause analysis.
• Partner with business, data engineering, and technology teams to maintain accurate and consistent data.
• Contribute to data governance, metadata handling, and documentation tasks.

Requirements

• At least 6 years of experience in data analytics, business intelligence, or data engineering roles.
• Hands-on expertise with SQL, Snowflake, Databricks, and Python.
• Practical experience in data mapping, profiling, validation, and data quality management.
• Direct experience working with financial reconciliation data is required.
• Strong understanding of transaction-level data, general ledger processes, procurement, accounts payable/receivable, and financial reporting.
• Background supporting finance, accounting, or enterprise reconciliation programs is strongly preferred.
• Experience operating in cloud-based data environments.
• Exposure to data governance and master data management practices.
• Familiarity with financial controls, audit processes, or reconciliation frameworks.

Benefits

The role offers strong opportunities for career growth as the company expands. It is suited to someone who enjoys working in a small, fast-moving, ambitious environment and is comfortable taking on a high level of personal responsibility.

Equal opportunity statement

The employer provides equal employment opportunities to applicants and employees regardless of race, color, religion, age, sex, sexual orientation, gender identity or expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability, or any other status protected by applicable law.