Senior Forecasting Analyst, Pro Hockey Life

What you'll do

The Senior Forecasting Analyst plays a critical role in achieving our Sales, Inventory and Shipment plans for the assigned business category within Pro Hockey Life’s assortment. The analyst leverages a wealth of historical data, product knowledge, market, and competitive data to construct the product-level forecast for both consumer and store demand.

Lead the development and introduction of comprehensive forecasting process to support the Pro Hockey Life banner

Creating a product level forecast for regular, promotional, and seasonal activities(In Season Management) using JDA Software and / or other leading-edge in house tools

Support the development of sound financial models utilizing various data sources. Understand the financial consequences of business decisions to ensure all drivers of performance are reflected in analysis

Monitoring demand variances to forecast and formulate corrective actions to ensure organization targets are being met

Managing against Open to Buy plans and inventory trends annually

Working closely with fellow Category team members including Category Business Managers in Merchandising, Category Business Planners, Marketing Promotional Planners and Allocation Analyst.

Provide proactive analyses on areas of the business which are influenced by economic / market shifts.

Effectively manage communications and relationships with key stakeholders to gain alignment on new processes and implementation plan, lead change management strategy

Success in this role is measured by continuous improvement in reduction of Forecast Error / Bias and improvement in Store Service Level

What you bring

Undergraduate or post graduate degree in Engineering, Math, Business or Commerce, with demonstrated interest in operations and supply chain

2+ years working experience, can include Co-op or Internship experience

Strong working knowledge of Microsoft Excel, SQL, Power BI and automation tools

Strong working knowledge of popular programing languages such as Python and R

Work experiences in replenishment roles is highly valued, especially data driven, analytical, or process improvement experience. Additional experience in forecasting / data modelling will be beneficial

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.

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