Demand Planner
Cork
Description
Apple is a place where extraordinary people gather to do their best work. If you’re excited by the idea of making a real impact, a career with Apple might be your ideal job. Just be prepared to dream big! Collaboration is key at Apple, and every day we'll connect you with your peers and colleagues at one of the most diverse and inclusive companies in the world.
World-class operational excellence is a cornerstone of Apple's success, and the Reseller Operations team play an essential role in ensuring operational and financial success for Apple. Reseller Operations are the voice of the Reseller Channel within Operations.
We are looking for a dynamic, highly motivated individual to join the Reseller Operations Central team as a Demand Planner. This role will be a key player in driving our continued success, focusing on robust demand planning, cross-functional collaboration, and generating critical business insights. Complementing these core responsibilities, you will actively identify and drive opportunities for process improvement and automation within our analytical and operational workflows, leveraging data-driven approaches to enhance efficiency and decision-making for the Reseller Channel.
- Collaborate with Reseller Account Managers to maximise order chase and drive partners to the optimal inventory, in-stocks, ranging and digital strategies to maximise revenue potential.
- Develop early alert mechanisms through analytical insights in our Ops data sets to monitor key metrics/business performance and define assignable actions.
- Drive a management system to support forecast, orderbook insights and demand planning supporting key business discussions and decision making with cross-functional teams and senior leadership.
- Challenge, influence and negotiate with operational stakeholders across the organization through strong data analytics and actionable insights.
- Support New Product Introduction (NPI) activities by understanding launch strategies, monitoring performance and velocity, and providing clear order chase reporting with identified risks.
- Manage the validation & publication of a weekly shipment plans to reseller channel partners
- Proactively identify and assess opportunities for process improvement and automation within demand planning, reporting, and operational workflows - sharing best practices, ensuring documentation and work instructions are accurate and up-to-date.
- Collaborate with subject matter experts, data science, and Bl teams to develop and implement data-driven solutions that enhance efficiency and scalability.
- Contribute to identifying and evaluating operational risks, proposing and implementing solutions to mitigate them within the scope of process optimization.
- Degree level qualification
- Innovative and strategic approach to reporting.
- Extraordinary data analytical skills, including the ability to model, interpret and present data in a way to zero in on what is most impactful.
- Attention to detail without becoming lost in the details.
- Superb interpersonal skills, both written and verbal - able to present complex analytics to an executive audience.
- A fast learner who can quickly apply and adapt knowledge in varying fast paced situations
- Consistent record of working cross-functionally with a variety of partners including sales, finance, logistics, and supply chain teams.
- Strong work ethic, self starter mindset with ability to work to tight service levels and handle the pressure of last minute requests.
- Proficient in Excel and or other data visualisation tools
- Strong understanding of how to leverage automation techniques (e.g., scripting, RPA concepts) to solve operational and business problems, driving meaningful improvements and efficiencies.
- A relevant 3rd level degree e.g. Engineering, Maths, Economics, Supply Chain, Statistics or Data Science & Analytics would be an advantage
- Relevant operations experience, preferably in a high tech or computer related industry.
- Strong analytical capabilities coupled with good business savvy
- Proficient in coding with program like Python, capable of writing complex queries, automating processes, and developing data models.
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