Financial Data AnalystResume Due Date: Friday, September 4th, 2026 (5:00PM EST)Job ID: 26-088Number of Vacancies: 2Level: MP5Duration: 24 monthsHours of work: 40 Hours a weekLocation: 1908 Colonel Sam Drive, Oshawa,Work Mode: Hybrid 2 days onsite, 3 days remoteHourly Range: $90 – $95We 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 ResponsibilitiesPartner with finance stakeholders to understand reporting and analysis needsCollect, clean, validate, and analyze financial and business data from multiple sourcesBuild and maintain dashboards, reports, and visualizations to support decision-makingIdentify trends, anomalies, risks, and opportunities in financial performanceSupport budgeting, forecasting, variance analysis, and management reportingHelp improve data quality, consistency, and reporting processesTranslate data into clear insights and recommendations for non-technical stakeholdersCollaborate with data, finance, and business teams to improve access to trusted dataSupport ad hoc analysis and presentation materials for leadershipQualificationsBachelor's degree in Finance, Accounting, Economics, Data Analytics, Statistics, Business, or a related fieldExperience in data analysis, business analysis, or finance analyticsStrong proficiency in Excel and SQLExperience with visualization and reporting tools such as Power BI or TableauStrong analytical, problem-solving,



and communication skillsAbility to present findings clearly to business stakeholdersFinance or accounting knowledge is preferredPreferred SkillsExperience with Python or R for analysis is a plusFamiliarity with financial reporting, planning, and performance metricsUnderstanding of data quality, governance, and process improvementExperience working with large datasets and multiple business systemsKnowledge in SAP S4, SAP ECC, SAP SAC/BDC, AnaplanOur 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 environment 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 qualified 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.

📌 Open: Financial Data Analyst (Oshawa)
🏢 CPUS Engineering Staffing Solutions
📍 Oshawa