HP Inc. is the global leader in printing and computing solutions. We're a company with the heart and energy of a start-up and a Fortune Global 100 corporation's brain and muscle. Our vision is to create technology that makes life better for everyone everywhere.
Category Manager position for Transactional business is dedicated to the dynamic transactional IT landscape. The successful candidate will work closely with internal and HP external sources to determine the right product offering in a different market route. Besides a very detailed view of the market, the individual will match HP's product strategy to identify profitable growth areas. As part of the 4P of marketing, the communication strategy will also be responsible for this role, including internal and external coordination with the HP sales force and HP's reseller channel. Data analytics is key to this role as by the day, new data streams become available and need to be filtered, streamlined, and condensed to get to a solid strategy proposal.
Responsibilities:
Collects, aggregates, and interprets large amounts of data to determine industry and consumer trends within the personal systems area.
Based on the foundation build by the data analysis, define an offering strategy and aligned it with key peer members
Development & Execution of internal & external communication towards the HP SalesForce & HP Customers.
Continuous monitoring of business-critical sell-thru and profitability KPI's
Regular interaction with external resellers, distributors & agencies to articulate the offering strategy and take market feedback
Development and maintenance of a 360-degree/24-month business plan for product categories.
Education and Experience Required:
Bachelor's or master's degree; preferable in Finance.
2-5 years of experience as a category manager or similar role within the personal systems area.
Experience with operational market research.
Experience in business data analytics preferred.
Knowledge and Skills:
Solid knowledge of category management and sales principles.
Understanding of the PC landscape.
Strong business data analytics knowledge – more data interpretation/ methodology than data mining.
Financial planning and modeling skills, comfortable to manage business planning and to report.
Strong communication skills.
Proficient in MS Office package.
Understanding of Product Life.
Knowledge of promotional marketing processes and practices.
Fluent knowledge of both English and German language.
Thank you for taking the time to review our job.; if you think it matches your experience and interests, please apply today; we are eager to learn more about you!
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