Finance Data Analyst
New
J
JobgetherFinancial analytics
Based in CanadaFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- Professional fluency in English, both written and spoken
- Experience
- At least 3 years of experience in data analysis, business intelligence, financial analytics, FP&A analytics, or a related analytical role.
- Required Skills
- PythonSQLBusiness IntelligenceETLMicrosoft ExcelData visualizationFinancial analysisData modelingGoogle Sheets
Requirements
- At least 3 years of experience in data analysis, business intelligence, financial analytics, FP&A analytics, or a related analytical role.
- Strong analytical and problem-solving skills, including investigating data across systems and identifying root causes of discrepancies.
- Good command of SQL and practical experience with at least one business intelligence or data visualization tool.
- Ability to translate business questions into data requirements, meaningful metrics, and actionable analyses.
- Solid understanding of budgeting, forecasting, monthly closing, variance analysis, revenue, cash flow, costs, and unit economics.
- Advanced Excel or Google Sheets skills, including reviewing, auditing, and structuring financial models.
- Strong documentation and communication skills and ability to collaborate with Finance and technical stakeholders.
- Professional fluency in English, both written and spoken.
- Experience in a B2B SaaS, software, technology, or scale-up environment is a nice-to-have.
- Familiarity with SaaS revenue metrics, SaaS cost structures, finance and business systems, data warehouses, data modeling, ETL, APIs, or data quality frameworks is a nice-to-have.
- Experience with Python or another programming language for analysis and automation is a nice-to-have.
Responsibilities
- Map and document financial and corporate data sources, systems, ownership, definitions, and data flows.
- Identify data gaps, inconsistencies, duplication, and reconciliation issues across business systems.
- Define data requirements and consistent metrics for closing, budgeting, forecasting, and management reporting.
- Transform and model warehouse and business-system data into reliable, reusable, documented datasets.
- Reconcile data across sources and investigate reporting discrepancies.
- Produce recurring financial analyses, dashboards, and reports, including budget-versus-actuals, variance, cash, headcount, and SaaS performance analysis.
- Collaborate with data engineering teams and system owners to improve integrations, transformations, data access, and quality checks.
- Automate recurring reporting, reconciliations, and analytical workflows.
- Maintain documentation for data lineage, metric definitions, business rules, assumptions, and limitations.
- Contribute to data governance and quality monitoring, and handle confidential financial, HR, and payroll information with discretion.
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