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Practical Skills: Acquire hands-on experience and practical skills in data analysis, data visualization, SQL, Python, and statistical analysis, equipping you to manage real-world data challenges effectively.
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Specific experience with JDA, statistical modeling and demand planning experience is highly preferred. Specific experience with JDA, statistical modeling and demand planning experience is highly preferred.
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Qualify for high in-demand jobs as a Data Analyst. In-demand Job Opportunities: Employers highly value the skills and expertise demonstrated by Google certified data analysts. Growth Potential: Developing a strong foundation in data analytics paves the way for career growth into advanced roles such as data scientist, machine learning engineer, or data engineer.
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Career Advancement: Gain a competitive edge in the job market and unlock new career opportunities in data analysis, data science, business intelligence, and related fields with Google certification. No degree or experience required.
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Cost-Effective Investment: At only $49 /month, the Google Data Analytics Professional Certificate offers a high return on investment for your career growth and advancement. Networking and Collaboration: Join a network of certified professionals and collaborate with industry experts, expanding your network and gaining insights into best practices and trends in data analytics.
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Industry Recognition: Earn a your globally recognized credentials in the fast-growing data analytics field. Expert-Level Training: Access comprehensive training designed by Google experts, covering essential data analysis skills, tools, and techniques required for success in data-driven roles.
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The demand for our technology has been further fueled by advances in green technology, electric vehicle, carbon capture, and hydrogen. Experience with quality tools and methodologies such as Six Sigma, Lean, FMEA, and statistical process control.
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Proficient in demand planning methodologies, statistical analysis, and forecasting techniques. The Demand Planning Manager plays a key role in ensuring accurate demand forecasting and inventory optimization to support the organization's supply chain operations.
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As a Demand Planner, you'll make sure every location has enough supply to cover the growing demand. Utilize demand planning tools and software to review historical sales trends, research demand drivers, tune forecast models and evaluate forecast results.
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Proficient in data analysis tools such as SQL, Excel, and statistical software as well as Salesforce object query language. Collaborate with digital marketing team to understand their objectives and provide data-driven recommendations for campaign optimization for both Demand Generation and eCommerce related campaigns.
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The Demand Planner drives business success by developing consensus forecasts combining statistical analysis and market intelligence. Working with Area Sales Management, Category Management, and Supply Chain the Demand Planner develops the consensus forecast that is critical in achieving sales and profitability, customer service level, and inventory performance goals.
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Publish an unconstrained demand plan to replenishment counterparts for inventory execution and capacity planning. Knowledge of demand planning / forecasting software a plus. Review and maintain supply chain statistical forecast models at the item, region and aggregate level within assigned categories.
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Proficiency in statistical analysis techniques, including SPC, Six Sigma, FMEA, and PPAP, to drive continuous improvement and quality enhancement initiatives. The surge in demand for 5G technology and electric vehicles along with an ongoing appetite for strategic acquisitions is quickly accelerating our growth.
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2 - 3 years of experience in supply chain, purchasing, demand forecasting or related fields. Collaborate and utilize "like item" demand history to develop new item forecasts. On-site café with executive chefs and seasonal dinner-to-go options.
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The Demand Planner enables the strategy and execution of forecasting and decision models through a strong combination of statistical, business intelligence, and market and industry trend analysis.
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