CE

Financial Data Analyst | Nuclear

Hiring from
Canada
Work type
Hybrid
Posted

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We are currently requesting resumes for the following position: Financial Data Analyst

Resume Due Date: Monday November 2nd, 2026 (5:00PM EST)

Number of Vacancies: 2

Level: MP5

Contract Duration: 24 months

Hours of work: 40 per week

Location: 1908 Colonel Sam, Drive Oshawa | Hybrid 2 days onsite 3 days remote

We are seeking a Finance Data Analyst to support data-driven decision-making across the finance function. In this role, you will analyze financial and operational data, develop reports and dashboards, identify trends and performance drivers, and deliver actionable insights to stakeholders. You will work closely with finance and business teams to improve reporting, streamline processes, and support planning, forecasting, and performance management activities.

Key Responsibilities

  • Partner with finance stakeholders to understand reporting and analysis needs
  • Collect, clean, validate, and analyze financial and business data from multiple sources
  • Build and maintain dashboards, reports, and visualizations to support decision-making
  • Identify trends, anomalies, risks, and opportunities in financial performance
  • Support budgeting, forecasting, variance analysis, and management reporting
  • Help improve data quality, consistency, and reporting processes
  • Translate data into clear insights and recommendations for non-technical stakeholders
  • Collaborate with data, finance, and business teams to improve access to trusted data
  • Support ad hoc analysis and presentation materials for leadership

Qualifications

  • Bachelor's degree in Finance, Accounting, Economics, Data Analytics, Statistics, Business, or a related field
  • Experience in data analysis, business analysis, or finance analytics
  • Strong proficiency in Excel and SQL
  • Experience with visualization and reporting tools such as Power BI or Tableau
  • Strong analytical, problem-solving, and communication skills
  • Ability to present findings clearly to business stakeholders
  • Finance or accounting knowledge is preferred

Preferred Skills

  • Experience with Python or R for analysis is a plus
  • Familiarity with financial reporting, planning, and performance metrics
  • Understanding of data quality, governance, and process improvement
  • Experience working with large datasets and multiple business systems
  • Knowledge in SAP S4, SAP ECC, SAP SAC/BDC, Anaplan


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