Competence and Resource Tools Developer

Competence and Resource Tools Developer

Job Title: Competence and Resource Tools Developer
Contract Type: Contract
Location: Bristol
Salary: £25 per hour
Start Date: 2018-03-21
Reference: J139764
Contact Name: Holly Auger
Contact Email:
Job Published: April 09, 2018 09:22

Job Description

Competence and Resource Tools Developer

Description of the Job
A vacancy has arisen within the Wing Engineering Competence and Resource Organization for the position of Digital Transformation & Archiving Support, based at Filton.
The successful candidate will report to the Head of Competence and Resource for the relevant activity, and liaise with the Digital Wing team to ensure that the required tools are delivered and maintained.

The Role will focus on
(1) The provision of a tool to support the tracking of archived documents for Wing Engineering
(2) The provision of digital tools to support resource tracking, analysis and prediction
(3) The provision of tools to support the assessment of competence within the Wing Engineering Organisation.

Tasks and Accountabilities
Digital Database - develop a digital toolset to replace existing excel guerrilla tools. The toolset will enable the Wing Engineering Competence and Resource team to combine data from other databases in order to make informed resource and competence development decisions using data from SAP; i-bridge; Finance; ECM
ECM - develop toolset to present competence assessment data in an automatic suite of charts and tables to enable its analysis and presentation to Heads of Engineering for the organisations European sites. Combine data-sets with the other digital data available where appropriate.
Wichita - incorporate data from competence assessment for the organisations Wichita
User Manuals - document all of the toolsets and processes developed for the above to the organisations Standards

Required Skills
·Excel including VBA
·Database management
·General programming experience, particularly in the scope of data science and analytics.
·Languages we prefer: Python, Spark, R. Web languages can be added value as well.
·Be familiar with visualisation tools such as Spotfire, Tableau, Qliksense.
·Apply established techniques used to find trends in KPI based and raw time series data.
·Apply novel data analytics approaches, experimenting with less established data analytics techniques to offer predictive models
·Excellent communication and presentation skills
Rate will be £25 p/h
Assignment will be until 01/10/18 with a possible extension

Apply now or call Holly on 01202596374