Statistical analyst Jobs in Oshawa, ON

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

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.