Financial Data Analyst Resume Due Date : Friday, September 4th, 2026 (5:00PM EST)
Job ID: 26-088
Number of Vacancies : 2
Level : MP5
Duration : 24 months
Hours of work : 40 Hours a week
Location : 1908 Colonel Sam Drive, Oshawa,
Work Mode : Hybrid 2 days onsite, 3 days remote
Hourly Range : $90 – $95
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
Our client is dedicated to promoting employment equity and encourages applications from equity-seeking communities including but not limited to: Indigenous Peoples, racialized individuals, persons with disabilities, and women. Our client aims to build a diverse team that reflects the communities it serves, enhancing its ability to meet their needs. We are committed to an inclusive and accessible work setting and invites all qualified individuals to apply, offering accommodations during the application, interview and onboarding process as needed. This effort supports our client’s long-term strategy for equity, diversity, and inclusion.
CPUS Engineering employs artificial intelligence (AI) tools as part of its recruitment process to enhance efficiency and consistency. These tools may assist with activities such as application screening, candidate evaluation, and summarization of interview feedback.
AI-generated outputs are intended to supplement, not replace, human judgment. All final hiring decisions are made by qualified human decision-makers who exercise professional discretion in reviewing and assessing candidate information alongside any AI-generated insights.
CPUS Engineering ensures that the use of AI in recruitment complies with all applicable employment laws, human rights legislation, and privacy regulations. The organization is committed to maintaining fairness, transparency, and non-discrimination throughout the hiring process.

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📌 OPEN: Financial Data Analyst (Ontario)
🏢 CPUS Engineering Staffing Solutions
📍 Ontario