Senior Forecasting Analytics Consultant

What you’ll do

The Senior Forecasting Analytics Consultant develops predictive models that can be integrated into key merchandising decisions (assortment selection, pricing strategy, product forecasting and replenishment). You will conduct traditional and machine learning analytics to identify and quantify cause-and-effect relationships, build / optimize tools that are used by Forecast Analysts, and design / publish digestible reporting on key business metrics. You will play a key role in the delivery of our advanced analytics roadmap and the development of predictive modelling / machine learning capabilities, while continuing to support the business with traditional analysis and established processes.

Use predictive / statistical modelling techniques and traditional analytics to identify and quantify sales drivers, conduct what-if scenario analysis and measure the causal impacts

Work with the Merchandising, Forecasting, and Promotions teams to ensure model predictions are consistent with business expertise, explainable and efficiently integrated into processes

Design and build tools / reporting that is user friendly and actionable

Plan, track and manage multiple projects and requests – these initiatives can range from 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

What you bring

The dynamic environment requires individuals with a cross functional background, excellent organizational skills, experience working in a project environment, advanced analytical ability, strong communication skills and the ability to work effectively in a team as well as independently.

4+ years 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, SQL. Knowledge of R and VBA would also be an asset.

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).

Business mindset with an understanding of the retail industry.

Demonstrated ability to lead, influence, and motivate peers as well as others without direct authority.

Effective written and verbal communication skills, including presentation abilities.

Hybrid

We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.