Tiger Analytics

Data Analyst (Financial Planning and Analysis) - Canada

Tiger Analytics$70K — $95K *
US-AnywhereRemote in Toronto, ON
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years in Data Analytics, Business Intelligence, or Data Engineering roles.
  • Proficient in SQL, Snowflake, Databricks, and Python.
  • Experience in data mapping, profiling, validation, and quality management.
  • Hands-on experience with financial reconciliation data essential.
  • Strong understanding of transactional, GL, and procurement data.
  • Preferred experience supporting finance and enterprise reconciliation initiatives.
  • Familiarity with cloud-based data environments.

Responsibilities

  • Partner with stakeholders to gather and document data needs.
  • Perform data profiling, mapping, and quality assessments.
  • Develop complex SQL queries and data models for reporting.
  • Design, transform, and manage datasets using Snowflake and Databricks.
  • Build Python-based data processing and validation workflows.
  • Analyze financial reconciliation data and identify discrepancies.
  • Collaborate with teams to ensure data accuracy and consistency.

Benefits

  • Significant career development opportunities as the company expands.
  • Unique chance to work in a fast-growing, entrepreneurial environment.
  • High level of individual responsibility in job duties.
Full Job Description
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.

Benefits

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.

About Tiger Analytics

Tiger Analytics is a consulting firm that provides data analytics consulting services to businesses. The company specializes in data science, machine learning, and artificial intelligence. Tiger Analytics helps businesses to leverage data to make better decisions, improve operations, and drive growth. The company has worked with clients in a variety of industries, including healthcare, retail, finance, and technology.
Learn more about Tiger Analytics
Size
500 employees
Industry
Net Income
$1 million
Founded
2011
5 Year Trend
+50%
Revenue
$10 million

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