Senior Data Analyst at BMO analyzing collection trends and optimizing performance through advanced analytics. Collaborating with teams to drive data - driven decision - making in collections strategies.
About the role
- Data Analyst supporting financial planning and analysis at Tiger Analytics. Analyzing financial reconciliation data and collaborating with stakeholders for data-driven decision-making.
Responsibilities
- 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.
- Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment.
- High degree of individual responsibility.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Data Analyst providing data - driven insights to inform strategies at Sun Life. Collaborating with business stakeholders to drive effective data reporting and analysis.
Senior Data Analyst at Doctors of BC focusing on data management and analytics for healthcare improvement. Driving insights and supporting organizational goals through advanced analytics.
Marketing Analytics Manager at Thrive Digital overseeing analytics workflows and client partnerships. Driving data - driven decision - making and analytics excellence across the organization.
LP
Senior Data Tester
LinkedIn Recruiter Post
Senior Data Tester needed for remote contract in Canada. Must have Azure Databricks, ADF, Kafka, SQL, Python, PySpark, and ETL/ELT testing skills.
Junior Data Analyst at AWISEE supporting data collection and automation initiatives to drive impactful results in digital marketing. Collaborating with teams on research and reporting projects.
LP
Data Analyst
LinkedIn Recruiter Post
Data Analyst (Hybrid, Toronto): Analyze Netezza databases, assess migration to Azure, perform data mapping, modeling, and documentation.
Seeking an Accounting Specialist to support project reporting and process enhancements within Finance Claims. Collaborating with diverse teams to drive efficiency and impactful insights.
Data Analyst supporting the Industrial Engineering team at MHI Canada Aerospace. Analyzing production data, creating dashboards, and managing job processes within MES systems.
Quantitative Trader/Researcher developing and implementing quantitative models for trading in financial markets. Joining a dynamic team to contribute to innovative trading strategies.