Jobs

Manufacturing Engineering Data Analyst


Job details
  • Leonardo
  • Edinburgh
  • 5 months ago

Job Description:

We have an exciting opportunity within the Manufacturing Engineering function for up to two Data Analysts.

The roles will support analysis and reporting of Production Key Performance Indicators (KPIs) and feeding into business reviews, as well as providing insights that contribute to strategic decision making.

Leonardo is an international leader in the development of cutting edge sensor products deployed across a wide range of airborne platforms. Pushing the boundaries of technology, accuracy, and safety in engineering globally.

The roles will be based in Edinburgh but may be a mixture of home based and on-site.

What you’ll do as a Manufacturing Engineering Data Analyst

Work in a highly skilled team, providing key inputs and data to aid Operations decisions and failure review boards.

Prepare product and process reports by collecting, analysing, and summarizing information and trends.

Produce reports and analysis of production Key Performance Indicators (KPIs), identify trends, patterns, and correlations. Translate findings into meaningful insights that contribute to VP-level decision making. Communication with key stakeholders.

Contribute to standardisation of reports. Improve and evolve existing processes.

Run existing Simul8 capacity models to various scenarios and output results to key stakeholders. Predict production output and assess the impact of different scenarios of Yield improvement, facility upgrades, resource changes etc. Experience in modelling software such as Simul8 would be beneficial.

Maintain manufacturing data i.e. routings.

​Maintaining data integrity by ensuring accuracy, completeness, and consistency.

Provide manufacturing decision-making information to aid:

reviewing production schedules; reviewing production labour and material costs; estimating future requirements

prepare product and process reports by collecting, analysing, and summarizing information and trends

Participate in manufacturing efficiency objectives by participating in capacity analysis, simulation planning workflow, space requirements, and equipment layout

You will be provided with a wealth of development opportunities in both virtual and applied working environments. 

At Leonardo we value individuals who continuously demonstrate a dedication to their personal development. We have partnered with Coursera, the world leading online training platform that offers around 4,000 courses you can sign up to, according to your professional and personal interests. Self-directed learning thrives in this environment.

What we need from you

Minimum HND in relevant discipline or equivalent experience.

Understanding of MRP systems.

Understanding in capacity modelling – Software such as Simul8 or witness.

Proficient using MS Office tools.

Experience in Statistical process control (SPC), Gage R&R and data analysis using software such as MiniTab is beneficial.

Experience in using SPC to fix or avoid problems – Software such as MiniTab

Experience using VBA in Excel, PowerQuery and PowerPivot to perform data analysis would be beneficial.

Good problem solving skills.

Competent in data analysis.

Analytical mindset and able to disseminate data and present to a variety of audiences. Attention to detail.

Excellent communication skills – both oral and written to articulate and explain technical understanding.

Ability to produce clear graphical representations and data visualisations.

Security Clearance

:

Life at Leonardo

With a company funded benefits package, a commitment to learning and development, and a flexible approach to working hours focussed on the needs of both our employees and customers, a career with Leonardo has never offered as many opportunities or been so accessible to as many people.

Pension:Award winning pension scheme (up to 15% employer contribution)

Holidays:25 days plus bank holidays, option to buy/sell leave and to accrue up to 12 additional flexi leave days per year

Flexible Working:Flexible hours with hybrid working options. For part time opportunities, please talk to us

Wellbeing:Employee Assistance Programme, access to Mental Health support, Financial wellbeing support, network groups (Enable, Pride, Equalise, Reservists, Carers)

Lifestyle:Discounted gym membership, Cycle to work scheme

Company funded flexible benefits:Access to private healthcare, dental schemes, Workplace ISA, Go Green Car Scheme, technology and lifestyle options (£500 annual allowance)

Training:Free access to more than 4000 online courses via Coursera

Referral Incentive:You can earn a reward for successfully referring a friend or family member

Bonus:Scheme in place for all employees at management level and below

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