Senior Financial Data Analyst

Accountabilities:

• • Analyze financial data to support budgeting, forecasting, reporting, financial performance reviews, and strategic business decisions.
  • Develop and maintain financial reports, dashboards, KPIs, analytical models, and management reporting using Excel, SQL, Power BI, and related tools.
  • Perform variance, trend, forecasting, financial performance, and cost-driver analysis to identify risks, opportunities, and actionable insights.
  • Validate, reconcile, and maintain financial data across enterprise systems while investigating and resolving data quality or reporting issues.
  • Build and maintain financial models and support month-end and quarter-end reporting activities.
  • Use AI-enabled tools such as Microsoft Copilot, ChatGPT, Power BI Copilot, and similar platforms to accelerate analysis, reporting, documentation, and insight generation.
  • Identify opportunities to use AI and automation to detect anomalies, streamline recurring reporting, and improve financial processes.
  • Automate financial reporting and analytical workflows using Python, Power Automate, or other appropriate automation technologies.
  • Prepare executive-level financial summaries, presentations, recommendations, and data-driven insights.
  • Collaborate with Finance, Technology, Risk, Operations, and Business stakeholders to deliver accurate and meaningful analysis.
  • Participate in Agile/Scrum ceremonies, process improvement initiatives, and projects designed to enhance reporting and analytical capabilities.

  Requirements:

  • Bachelor's degree in Finance, Accounting, Economics, Business, Computer Science, Information Systems, Engineering, or a related discipline, or equivalent professional experience.
  • 5+ years of experience in financial analysis, business analysis, data analytics, or FP&A, including substantial experience with financial reporting, budgeting, forecasting, variance analysis, and financial modeling.
  • 3+ years of hands-on SQL experience for financial data analysis and reporting, with experience working with large datasets and enterprise systems.
  • Advanced Microsoft Excel skills, including complex formulas, PivotTables, financial modeling, and data analysis.
  • 2+ years of experience with Power BI or a comparable business intelligence platform.
  • 2+ years of experience using Python, R, or other data analysis and automation technologies.
  • 2+ years of practical experience using AI tools for financial analysis, reporting, productivity, process automation, or business insights.
  • Experience with enterprise financial systems such as ERP, General Ledger, Treasury, or Investment Management platforms.
  • Strong understanding of financial concepts, KPIs, data quality, reconciliation, management reporting, and financial performance analysis.
  • Experience collaborating with cross-functional Finance, Technology, Operations, and Business teams, preferably in an Agile/Scrum environment.
  • Strong analytical, problem-solving, communication, and stakeholder management skills, with the ability to translate complex data into clear business recommendations.
  • Experience in Banking, Financial Services, Insurance, Wealth Management, or Investment Management is an advantage.
  • Familiarity with platforms such as Tableau, Snowflake, Power Automate, or modern analytics environments is a plus.
  • Knowledge of responsible AI, data privacy, security, governance, and regulatory considerations is desirable.

  Benefits:

  • Compensation: CAD $40–$44 per hour, with actual compensation depending on location, experience, technical skills, and qualifications.
  • Remote work: Fully remote position within Canada.
  • Employee Assistance Program (EAP) to support employee wellbeing.
  • Discount perks and access to employee-focused benefits.
  • Opportunity to work with modern financial analytics, automation, and AI technologies.
  • Exposure to cross-functional projects involving Finance, Technology, Risk, Operations, and Business teams.
  • Opportunities to contribute to continuous improvement and innovative data-driven initiatives.