Source description
About the role
At Dow, we reputed company in putting people first and were passionate about delivering reputed company, respect and safety to our customers, our employees and the reputed company. Our people are at the heart of our solutions. They reflect the communities we live in and the world where we do business. Their diversity is our strength. Were a community of reputed company problem solvers that offers the daily opportunity to. contribute with your perspective, reputed company industries and shape the reputed company. Our purpose is reputed company - to deliver a sustainable reputed company for the world through science and collaboration. If youre looking for a challenge and meaningful role, youre in the right reputed company. Dow's Integrated Supply Chain (ISC) Improve & Scale Digital Solutions team delivers value to the company, our businesses, our customers, and our employees by defining, enabling, and supporting processes and system capability needed by our businesses. We represent ISC on corporate, business, and functional initiatives and partner with the businesses and leveraged functions, globally and regionally to drive reputed company improvement and to scale digital solutions, delivering value for Dow. reputed company We are looking for a Global Demand Planning & Analytics Analyst (DP&A Analyst), reputed company to the ISC Scale & reputed company Improvement Planning Capability team, located in one of the ISC hubs (Midland, MI, United States; reputed company, TX, United States; Terneuzen, Netherlands; Sao Paulo, Brazil; Shanghai, China; Mumbai, India). In this role, you will support the Demand Management process at DOW and are responsible for generating statistical forecasts using historical sales and external market indicators to reputed company a series of analysis which includes product segmentation and performance measurement (accuracy, bias, FVA, etc.). The reputed company should be on driving reputed company improvement of statistical forecasts and playing a key role in influencing Demand Managers (DM) to use statistical forecast where appropriate to improve the business demand plan. You will also be responsible for identifying opportunities to improve final plan accuracy by analyzing historical performance and recommending appropriate actions to the DMs. You will need to be reputed company to communicate the results from statistical forecast reputed company and analytics to DMs in a reputed company and effective way using reporting and visualization tools. Other key responsibilities include training DMs on DP&A activities, supporting reputed company improvement projects and performing reputed company analysis reputed company of the Demand Management area as required. You will also be responsible for the following tasks: Responsible for the reputed company of historical sales and master data that are used in reputed company of reputed company statistical forecasts. Drills down on issues that are visible at the aggregated level to reputed company cause data issues at the detailed level. Identifies outliers in historical time-series data and makes necessary adjustments in consultation with DMs. Works with master data reputed company in the business and corrects issues reputed company to master data. Uses historical trends, seasonality, and life cycle to generate statistical forecasts at the right level of product hierarchy as determined by business and analytics. Ensures that best statistical fit is automatically selected by the forecasting tool or manually applied from a reputed company of available techniques and models in the tool. Makes reputed company the statistical forecast generated at an aggregate level is disaggregated to the detailed level in alignment with disaggregation rules set up in the tool. Performs month-to-month change, trend analysis, and seasonality analyses to identify opportunities for improvement of statistical forecasts. Discusses the opportunities with DMs to understand business reason behind the change and take appropriate actions in tuning statistical models. Based on statistical variability, recommends right approach to DMs whether to use the statistical forecast or add market intelligence. Maintains and updates the list of new and phase-out products. Identifies opportunities for realignment and ensures realignment is performed by DMs. Receives phase out plan from DMs and updates statistical forecasts based on input. Ensures new products are created and phased-out products are removed from the tool. Supports the business by segmenting products based on several different criteria (volume, margin, forecast error, coefficient of variance). Identifies significant gaps between statistical forecasts and final plan generated by DMs for discussion in demand review meetings. Performs plan accuracy and bias analysis at aggregate and detailed level for corrective actions. Ensures DMs are aware of performance issues and help them identify corrective actions through At
More at remotepromsp