Financial Data Analyst

🌟 Job Opportunity: 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
💵 Hourly Range: $90 – $95
📍 Location: 1908 Colonel Sam Drive, Oshawa,
🏠 Work Mode: Hybrid 2 days onsite, 3 days remote

Recruiter: Lana Newman, CHRP

Job Overview

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

To apply please send your resume to careers@cpus.ca or through the following link: https://lnkd.in/gPbYGUvd