Graphcore has created a completely new processor, the Intelligence Processing Unit (IPU), specifically designed for artificial intelligence. The IPU’s unique architecture means developers can run current machine learning models orders of magnitude faster. More importantly, it lets AI researchers undertake entirely new types of work, not possible using current technologies, to drive the next great breakthroughs in general machine intelligence.

We believe our IPU technology will become the worldwide standard for artificial intelligence compute. The performance of Graphcore’s IPU is going to be transformative across all industries and sectors whether you are a medical researcher, roboticist or building autonomous cars.

Our team is at the forefront of the artificial intelligence revolution, enabling innovators from all industries and sectors to expand human potential with technology. What we do, really makes a difference.

We are looking for a Supply Chain Data Analyst who will report to the Supply Chain Director and will thrive working in a fast paced environment.

The Supply Chain Data Analyst will be the focal point for supply chain intelligence, data analytics, dashboarding and analysis supporting all production, sales order processing and procurement activities. Merging data from subcontract third party manufacturers and internal systems, this person will drive value through development of structured business information & dashboards, aiding decision making and efficiency. This position will be based in our Bristol office.

Primary Individual Responsibilities and Objectives:

  • Create, drive, and enhance supply chain and manufacturing understanding with intelligent data
  • Create models to perform data reconciliations and in-depth analysis
  • Summarise data reconciliations into report findings, identifying necessary actions and following through the query resolution process with internal and external parties
  • Review and document processes with a proactive and creative approach
  • Support the S&OP process by working with the Supply and Demand Managers, and Finance
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyse, and interpret trends or patterns in complex data sets
  • Publishing and reporting on supply chain’s core KPIs
  • Using data science & ML to develop supply chain learning and optimisation

Knowledge, Skills and Experience Essential:

  • Bachelor’s degree 2:1 or above, in a related field
  • Substantial experience with large, operational data in heavy technology / engineering manufacturing
  • Experience working with SQL to extract & manipulate data (required)
  • Python (highly desirable)
  • AWS (desirable)
  • Power BI (desirable, but must have experience of at least one Visualisation tool e.g. Tableau, Qlik, Looker etc)
  • Clear understanding of ERP, Planning and BOM process and data,
  • Ability to gather and analyse data in an automated approach
  • Clear understanding of process & batch manufacturing.
  • Good English language skills – fluent speaker / written
  • Should be comfortable manipulating complex data sets
  • A structured approach to work with documentation ‘built-in

We are seeking to improve the way we do things in a rapidly growing business and this involves working collaboratively to find the best way forward. In this role is it essential to become an expert in Graphcore  in-house systems, our manufacturers systems / datasets and to be comfortable interrogating and manipulating our datasets.

We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know.

Please note, we are only considering candidates who have an established right to work in the UK for roles based in Bristol, UK.

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