At a Glance
- Tasks: Analyze financial data, create reports, and deliver insights to drive decision-making.
- Company: Join a forward-thinking company committed to diversity and inclusion.
- Benefits: Competitive hourly wage, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on equity and accessibility.
- Why this job: Make an impact by transforming data into actionable insights for finance teams.
- Qualifications: Bachelor's degree in Finance or related field; strong Excel and SQL skills required.
The predicted salary is between 26 - 88 $ per hour.
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 environment and invite 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.
Financial Data Analyst in Oshawa employer: Cpus Engineering Staffing Solutions Inc.
Join a dynamic and innovative company that prioritizes employee growth and collaboration in a supportive hybrid work environment. As a Senior Manager in Engineering, you will not only lead a skilled team but also have access to ongoing professional development opportunities and a culture that values open communication and teamwork. Located in Ontario, this role offers the chance to make a meaningful impact on powerline safety initiatives while working alongside dedicated professionals committed to excellence in the electrical engineering field.
Contact Details:
Cpus Engineering Staffing Solutions Inc. Recruitment Team
