Financial Analyst 1 – Data & Analytics

Nissan Motor Corporation•Mississauga, ON

2d•CA$67,497 - CA$83,412•Hybrid

About The Position

This posting for an existing vacancy within our organization. Come Drive Innovation with Us. We are currently looking for a Financial Analyst 1 – Data & Analytics to join our team at our head office located in Mississauga, ON. The successful candidate will play a key role in enhancing Nissan Canada’s vehicle profitability insights by combining financial analysis with data science techniques. This role supports COP/CMP-I analytics, forecasting, and decision-making through advanced modeling, automation, and data-driven insights, enabling more predictive and actionable business outcomes.

Requirements

2–3 years of experience in finance, analytics, business intelligence, or data science-related roles
4 year University degree in Finance, Business Administration, Accounting or other
Strong foundation in financial analysis, forecasting, and business planning, combined with analytical and problem-solving skills
Advanced technical skills: Excel (advanced modeling) - mandatory
Power BI (dashboarding & visualization) - mandatory
Exposure to Python, SQL, or other data analytics tools is strongly preferred
Experience with enterprise systems (SAP, Hyperion, or similar) and large datasets
Ability to apply data science techniques (trend modeling, scenario analysis, basic predictive analytics) in a business context
Candidates for this position must be legally authorized to work in Canada and will be required to provide proof of employment eligibility at the time of hire.

Nice To Haves

Strong communication skills—able to translate data insights into clear narratives for non-technical stakeholders
Self-starter with a continuous improvement mindset and interest in digital transformation and automation

Responsibilities

Own and enhance COP (Consolidated Operating Profit) & CMP-I (Consolidated Marginal Profit minus Incentives) analytics through data-driven models and automated reporting
Develop and maintain advanced analytical tools and dashboards to track product profitability trends (monthly & quarterly), leveraging Power BI, Python, or similar tools
Perform predictive and diagnostic analytics (trend analysis, variance decomposition, scenario modeling) to identify key drivers of profitability
Support cross-functional teams by translating complex data into clear, actionable business insights, including pricing strategy and incentive effectiveness
Contribute to pricing and new model analysis, integrating financial modeling with market, sales, and incentive data to optimize CMP-I outcomes
Support forecasting and budgeting processes by incorporating data models (e.g., regression, sensitivity analysis) into CMP-I and COP projections
Drive automation and process improvements, reducing manual effort and increasing data accuracy and consistency
Partner with IT and business teams to improve data availability, data quality, and governance across financial and operational datasets
Support MTP and C&I initiatives using scenario simulations and advanced analytics to validate financial impacts