Supply Chain Management Forecast Analyst
10400 NE 4th St., Bellevue, WA
Nice to have:
- Excellent detective skills. Is naturally curious and eager to learn more, particularly when there is ambiguity.
o Essential for deep diving into forecast accuracy and adoption metrics.
- Comfortable turning gaps into clear, actionable requirements and recommendation whether it be business process changes (e.g. data entry), modelling enhancements (e.g. seasonality) and/or product (e.g. enhancements to UI).
- Has excellent track record of communicating, educating and influencing others.
o This is for a broad audience as well (leadership, demand planners, data scientists).
- Pro-active individual who is actively seeking work and areas of improvement and opportunities.
- Excellent team player and collaboration skills with a diverse audience e.g. demand planners, data scientists, engineers, management
- 3+ years of industry experience, where reporting and performing deep dive analysis were key duties in their role.
o We don’t want a fresh college graduate.
o Comfortable getting their own data, cleaning and transforming it, and providing quick analysis and insights.
- Experience dealing with production systems that operate at a large scale.
- Can build automated, production standard Tableau dashboard and reports with ease.
- Experience with modelling and prototyping (less essential since this will still reside with data scientists predominantly).
The Supply Chain Management Forecast Analyst is responsible for understanding the efficacy of and optimizing processes and tools for automated forecasting logic and planner adoption. The Analyst will review weekly automated forecasts, Planner forecast overrides, and identify areas where the logic of the automation is not performing ideally, or planners are not demonstrating confidence in the tools. This will require deep diving SKU-level forecast performance to understand how machine learning tools are ingesting key demand influencing factors for specific products and product families and how those levers are impacting forecasts. The Forecast Analyst will take learnings from this work to drive future requirements for logic and automation, participate in UAT, and train key business partners on new functionality, including forecast visualization tools in the Planning UI. This role is critical to identify trends and nuances, data and process issues, or adoption of forecasts by working closely to understand details of data and problem solve where results generated are not what was expected. The goal of this role is to improve Forecast Accuracy, increase Forecast Automation adoption, improve scalability and automation/reduce manual intervention; and pave the way for increased volume and complexity. The Supply Chain Management Forecast Analyst will design and execute strategic objectives, define data and reporting requirements, and UI experience, build processes for deep diving performance. Key partners will be Supply Chain Managers, Category Managers, Data Solutions and Data Science, and Engineering.
- Understand how Planners collect and assess demand and supply for specific products sold through SEA eCommerce to ensure attainment of revenue goals, optimization of in-stock and fulfillment rates, and customer satisfaction.
- Partner with Supply Chain Planners to improve their adoption of Forecast Automation by understanding pain points, gaps in data or process.
- Analyze weekly forecast results comparing automated forecasts to overrides and root causing the value of overrides, why the planners had insight the machine learning did not capture, and how this can translate to future logic requirements (if at all).
- Analyze results for outliers and anomalies in the forecast data to proactively raise awareness and solutions.
- Measure key performance indicators to track and evaluate forecasts and overrides, to assist in assessing the effectiveness of the demand planning & forecasting functions.
- Work closely with Data Solutions and Data Scientists to improve logic and identify requirements.
- Own Forecast Automation Adoption metrics and Override accountability.
- Attend Data Science, CPFR, and S&OP meetings to effectively be a liaison between Supply Chain Planning and Data Solutions.
- Create documentation and standard operating procedure documents.
- Partner with data scientists to develop and improve forecast automation and tools.
- Monitor and take action on exception reporting, weekly business reviews and KPI’s.
- Develop and maintain constructive and cooperative working relationships with all stakeholders.
Education and Experience:
- Knowledge of direct-to-consumer eCommerce business processes and best practices, or Retail Consumer Electronics forecasting and planning in order to understand analytics and goals.
- Responsibility for eCommerce Forecast Automation through analyzing various forecast types, their results and variances, and root cause ways to improve automation and scalability – which ultimately results in attainment of revenue goals and customer satisfaction through best in class processes.
- Supply chain experience, with a focus on demand planning, preferably within an eCommerce business.
- Prior experience in a Consumer Electronics manufacturer and/or retailer strongly preferred.
- Strong knowledge of eCommerce best practices and trends.
- Strong analytical and statistical background.
- Knowledge of Data Science principles and best practices.
- Statistical Forecasting experience.
- Excellent communication skills (verbal and written).
- Ability to work under pressure and deadlines. In addition, must be able to manage multiple projects and often competing priorities.
- 5 - 7 years of equivalent work experience required.
- College degree and/or equivalent work experience required.
- Proficiency in all components of Microsoft Office Suite, SQL, Tableau.
- Coding experience (ideally R or Python).
- Business reporting and presentation skills.
- Strong analytical, problem solving, and decision-making skills.
- Knowledge of direct-to-consumer eCommerce business practices and operations is highly desirable.
- Experience in leading eCommerce supply chain management function, preferably within an IR500 retailer, is required.
- Self-starter who is able to drive tasks with little supervision and navigate ambiguity.
- Extreme attention to detail is required.
- Ability to clearly articulate assumptions and risks, and ability to influence others is required.
- Customer focus is critical.
- Ability to navigate the organization to gather information, elicit feedback, gain buy-in, build trust, and engage others.