Engineering Resource Planning Data Analyst
Location | Warwickshire |
Job type: | Contract |
Salary: | £34.43PH Umbrella |
Contact name: | Keeley Atkinson |
Contact email: | katkinson@select-engineering.net |
Contact phone: | 01245403560 |
Job ref: | 39196 |
Published: | 18 days ago |
Expiry date: | 16 Dec 2023 23:59 |
Startdate: | ASAP |
Position Description:
The Engineering Resource Planning Team are seeking an exceptional individual to take the role of an Engineering Resource Planning Data Analyst within our passionate and driven team.
With resource being our biggest asset, we have a fantastic opportunity for an Engineering Resource Planning Data Analyst to join the team to support with the management of data and our resource tools and systems.
Data is at the heart of everything we do, which is why this a key role within the team to manage benchmark anaylsis, trend analysis, creation of KPI's and Tableau Dashboards, continuing to refine and enhance our data reporting.
Skills Required:
Strong IT skills, to include Excel, Tableau Desktop and Tableau Prep Data Analytics experience, demonstrating the ability to analyse complex data and to create appropriate reports and visualisations to support discussions at all levels of the business
A degree in a technical field (e.g. IT, Engineering or Science) with strong IT skills or equivalent experience
Experience Required:
Previous experience of working in a data analytical role
Experience of change management or driving process improvement
Ability to manage own priorities, work independently and take initiative
To be dependable and results-driven, ensuring customer needs are met
Ability to be able to adapt to a fast-paced environment and change in priorities while maintaining positivity and resilience
Attention to detail - organised, process orientated, able to see the big picture and the importance of each small action
The ideal candidate will be an organised and positive self-starter who works well under pressure and can work to a given deadline.
Experience Preferred:
A degree in a technical field (e.g. IT, Engineering or a Science subject)
Experience working in a cloud environment, e.g. GCP Python programming experience
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