Quantitative Analyst

BRP•Sherbrooke, QC

1d•Hybrid

About The Position

BRP is seeking a Quantitative Analyst to design, develop, and maintain quantitative and statistical models to forecast the evolution of the powersports industry, market share, and company sales. The role involves analyzing large internal and external datasets, evaluating model performance, and collaborating with various teams to support business decision-making. The analyst will also stay updated with best practices and innovative modeling approaches.

Requirements

A university degree in mathematics, statistics, economics, or a related field.
Strong experience in quantitative modeling, statistical analysis, and forecasting, ideally applied to commercial or market data.
Proficiency in analytical tools and languages such as Python, SQL, Snowflake, or similar, as well as time series and machine learning techniques.
Ability to work with large volumes of complex data while ensuring data quality and reliability.
Excellent analytical skills, critical thinking, and scientific rigor.
Ability to simplify complex concepts and communicate effectively with both technical and non-technical stakeholders.
Autonomy, strong organizational skills, and the ability to manage multiple projects simultaneously in a dynamic environment.

Nice To Haves

Experience in the powersports industry or a related manufacturing sector is considered an asset.

Responsibilities

Design, develop, and maintain quantitative and statistical models to forecast the evolution of the powersports industry, market share, and company sales.
Analyze large internal and external datasets (sales, market data, economic indicators, industry trends) to extract relevant insights.
Evaluate model performance, and ensure their validation, continuous improvement, and adjustment based on newly available data.
Work closely with sales, marketing, finance, and strategy teams to support business decision-making through data-driven analyses and forecasting scenarios.
Stay up to date with best practices, analytical methods, and industry trends to innovate in modeling approaches.