Senior Business Analyst, Predictive Modeling
2 weeks ago
Senior Consultant, Predictive Analytics
The Senior Consultant, Predictive Analytics plays a key role in the delivery of our advanced analytics roadmap and the development of predictive modeling/machine learning capabilities. This position supports the business with traditional analysis and established processes, while driving the development of predictive models that can be integrated into key merchandising decisions.
Key Responsibilities:
- Develop predictive models that can be integrated into key merchandising decisions, including assortment selection, pricing strategy, product forecasting, and replenishment.
- Play a key role in the delivery of our advanced analytics roadmap and the development of predictive modeling/machine learning capabilities.
- Support the business with traditional analysis and established processes.
- Use predictive/statistical modeling techniques and traditional analytics to identify and quantify sales drivers, conduct what-if scenario analysis, and measure the causal impacts.
- Plan, track, and manage multiple projects and requests, including formal long-term project implementations, medium-scale process improvement initiatives, urgent system/tool support issues, or quick ad-hoc analysis requests.
- Proactively identify opportunities and deliver data-supported insights to Merchandising and Forecasting to help improve the accuracy of forecasts and key business decisions.
- Provide leadership and direction to the team, including training and coaching in advanced analytics.
- Ensure the forecasting systems, reports, and EUC tools are operational and support the business processes; lead projects to implement new functionality, including automation.
- Act as a subject matter expert for Forecasting processes and provide expertise and direction in special projects.
Requirements:
- ~4+ years of work experience in various roles within forecasting, analytics, merchandising, or supply chain.
- ~University degree in engineering, math, computer science, statistics, business, or related field.
- ~Proficiency with programming in Python, Spark, and SQL.
- ~Direct experience with data science/machine learning models, including successful implementations & productionizing of projects.
- ~Strong analytical, problem-solving, and data mining skills with the ability to summarize and deliver actionable insights and recommendations.
- ~Experience with Cloud computing environments for data science.
- ~Advanced technical skills in Microsoft Access, Excel, Database systems.
- ~Results-oriented, with proven project and time management skills (planning, prioritizing, executing, delegating, and tracking).
About Us:
Canadian Tire Financial Services is a leading provider of financial services to Canadians. We offer a range of products and services, including credit cards, loans, and insurance. Our company is committed to helping Canadians achieve their financial goals and live better lives.
Our Commitment to Diversity, Inclusion, and Belonging:
We are committed to fostering an environment where belonging thrives, and diversity, inclusion, and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification.
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