Data Analyst

You will be responsible for providing support to the site initiative through project work and close liaison with all members of the teams to ensure the initiative operates efficiently and effectively and delivers the budgeted financial savings agreed., * Waste Inputs and analysis from each machine.

• Updating team reports into site report.
• Managing outputs and analysis required from preparation meetings.
• Pre Analysis for teams and simple Paretos for prep meetings for teams.
• Ability to manipulate data from current Business intelligence and legacy data to support team pre-launch.
• Supporting the data analysis from the factory.
• Updating KPI's for Pillar Support and Pillar boards and teams.
• Ensuring Calendars match Teams and Pillars to masterplan with the support of the manager.
• Supporting the manning of the teams and working with shift managers to Align Shift availability.
• Updating and supporting teams in the updates of KPI's, Project tracking Analysis and Project Boards.
• Support the manager in the preparation of training files and updating the competence and training matrix's to support training Gaps identification.
• Support PCS control after teams complete so that tracking continues and up to date information on the status of hold the gains is updated weekly and spikes are identified to the manager or Pillar leads to actively control back to control state.
• Become a 2nd super user for support to shop floor teams for Factory issues when the manager is unavailable.

• At least 2 years' recent and relevant experience in a similar role.
• A minimum of 5 GCSEs (or equivalent) at grade C or above, including English Language and Mathematics.
• Demonstrable experience of business analytics and data manipulation.
• Intermediate Microsoft Office skills with strong Excel Modelling skills.
• Excellent communication skills both written and verbal with the ability to communicate with stakeholders at all levels.
• Ability to work on your own initiative as well as part of a team.
• Ability to manage and prioritise a busy workload.