Revert back and negotiate with markets when necessary, Ensure transparency around Target Volumes and how they relate to the 50/50 forecast and the range around the 50/50, Establish and continuously improve business processes for developing sales volumes, including Target Volumes, 50/50 sales forecasts, and range forecasts, Develop and integrate regional powertrain forecasts, including issue identification and scenario analysis, Budget, Mid-Term Plan, Long-Term Plan, Business Plan and Long-Term Forecasting processes, GVDP and its forecasting related deliverables, Planning (GM3PD), Forecasting(GFS), and Volume databases (GSRA), Automotive industry knowledge, including policies, competitor activities, and industry trends, Forecasting related data – third party forecast houses, historical data sources, research data sources, MS Word, Excel and PowerPoint, Tableau – Advanced level of Excel and PowerPoint, Functional/Technical Skills, namely Forecast and Business Acumen, Cross-functional and Cross-cultural Experience and Awareness, Master in Business Administration, Master of Science in Marketing, Statistics, or other related field required, Functional experience in Forecasting, Market Analysis, Marketing, Planning, Sales, and/or Finance, Experience living/working in markets outside the U.S, Responsible for coordinating strategic forecasting and commercial analytics support within his / her therapeutic area(s) of responsibility, Supervise / develop the Forecasting Manager(s) reporting to him / her – including but not limited to training / coaching to higher levels of competency / performance, generating annual performance objectives & development plans and delivering mid-year and year end performance reviews, Anticipate staffing requirements, manage the recruiting process necessary to fill all vacancies and identify / address / resolve any performance issues associated with the Forecasting Manager(s) reporting to him / her, Coordinate the development / maintenance of forecast models for all pipeline products and on market lifecycle projects within his / her therapeutic area(s) of responsibility. Forecasting Analyst Resume Examples Forecasting Analysts are in charge with analyzing market trends to make predictions for business purposes. The candidate will utilize their previous experience in a budget/ forecasting position to re-design the existing process to ensure that results reported are accurate, produced within requisite deadlines, utilize new information systems capabilities (Hyperion), are managed in a controlled process, etc, Responsible for effective communication of potential issues of meeting budget/ forecast reporting deliverable dates to Senior Management, Responsible for the critical examination of reports produced to identify anomalies, trends in data that require investigation by the finance team. Here we discuss the top 4 budgeting and forecasting examples along with step by step calculation and explanation. Read through Budgeting skills keywords and build a job-winning resume. and 5+ years of quantitative analytical or forecasting experience, 2+ years pharmaceutical analytics experience, Extensive knowledge of forecasting principles, practices, and tools, Extensive knowledge of pharmaceutical industry practices, Resource Management; ability to manage internal and external resources (people, information, technologies, time, and capital); allocates resources appropriately, given organization, group and individual goals and objectives to align with business goals, Proficient in one or more of MS Office, MS Access, VBA, SPSS, or SAS programming, Communicates opportunities and risks to management on a proactive basis, Leads the development of a consolidated demand forecast for a specific business units or product categories, Leads the refinement and improvement of demand forecasting processes and systems to support business requirements, including quarterly and annual budgeting, Using, implementing or improving forecasting processes and systems (7 years), Management, including building and leading cross-functional teams (5 years), Progressive experience in planning, forecasting, and inventory management (5 years), Working knowledge of all facets of demand forecasting, Proficiency in forecasting or statistical software, 8+years experience in product management in the technology space, Proven success in delivering technology products/services in a high growth environment, Data-driven decision making and quantitative analysis skills, including deep knowledge of statistical analysis, Excel, SQL, and/or other analytical techniques), Demonstrated experience as a strong leader who can prioritize well, communicate clearly and compellingly and effectively influence across cross functional teams, MBA or Master's degree in Technology (Computer Science, Computer Engineering), Ability to think strategically and at the same time stay on top of tactical execution, Proven experience working in the software as a service industry, Curiosity to dig several layers deep into metrics, to understand key drivers and whether they are the correct or best metrics to measure/manage a business or process, Experience with advanced statistics, operations research and machine learning techniques, Experience working in or with a complex international supply chain management organization, Experience incubating and commercializing new technology, from idea generation through production release, BS in Computer Science with at least 8 years of industry experience, At least 8 years of experience managing enterprise software engineering teams, Technically strong to lead a team of software engineers and development managers and be able to deliver the right product with a scalable engineering design, The ability to achieve results in a fast-paced, high-pressure environment is critical, A passion for people management and mentorship; hiring and developing great people, Able to balance technical leadership with business judgment, Experience with analytics and handling large data sets, Experience with large distributed systems, A track record of project delivery for large, cross-functional, projects, Partner across the team to determine optimal analytic, reporting & forecast modeling approaches, identify appropriate supplier partners, foster strong partnerships in the context of resources, timing and overall project goals, Ensure timely tracking of forecast accuracy and key assumptions across key data sources – prescription, patient, call activity and managed care to evaluate risk & opportunities, Ensure seamless integration of analytics from national and subnational levels across key data sources – prescription, patient, call activity and managed care to evaluate marketing and sales tactics. 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