Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Manage and analyze engineering parts data for renewable energy assets.
- Company: Join Rullion, a family-owned recruitment company with a focus on building lasting relationships.
- Benefits: Enjoy remote work flexibility and competitive day rates of £300-400.
- Why this job: Be part of a forward-thinking team impacting the renewable energy sector.
- Qualifications: 3+ years in data analysis, preferably in engineering; proficiency in asset management software required.
- Other info: UK residents only; applications may take up to 14 days for feedback.
The predicted salary is between 60000 - 84000 £ per year.
Location: REMOTE (candidates must be UK resident)
Contract Length: Until December 2025
IR35 Status: Inside, Umbrella
Day rate: £300-400/day
Hours of work: 37 hours per week, 5 days
Role Overview
The Engineering Parts Data Analyst will support the Asset Integrity Engineering Manager in the management of Engineering Parts data which is an essential enabler towards effective performance and integrity management of Clients’ operational assets. This role involves conducting data analysis and system optimisation activities.
Key Responsibilities:
- Asset Register: Manage the asset register data for all asset families, including offshore wind, onshore wind, solar, and BESS. This includes management and development of the digital systems supporting the validation of registers created by projects as the enter operations. The Asset Register includes associated data such as: engineering parts, criticality, and object attributes.
- Ownership of Engineering Parts: Manage all engineering part data, ensuring accurate records and availability. Support the process of applying technical specifications to parts.
- Configuration of Classes: Configure and manage multi-level parts organised into parent/child classes for key assets with a repeatable nature. Support the tracking of variations between classes.
- Data Analysis: Assist in analysing asset data to identify trends and areas for improvement.
- Digital Systems: Contribute to the development and maintenance of central digital systems.
Qualifications and Experience:
- Candidates must be UK residents, living in UK.
- Minimum of 3 years experience in a similar role involving data analysis relating to engineering equipment, preferably within the renewable energy or engineering industry.
- Proficiency in inventory and asset management software (e.g. IFS, SAP, IBM Maximo) is preferred.
- Programming awareness (e.g., Python, SQL, or similar) for data manipulation and scripting to filter and process data.
- Experience with data visualisation tools such as Power BI, Tableau, or similar is highly desirable.
- Excellent skills of Microsoft Office package (MS Excel, MS Word, MS Power Point, etc.).
Interested in this position? please click “apply now”
We try to respond to all applicants, but sometimes this is not possible due to high volumes of applications; if you have not heard from us within 14 days, regrettably it means you have been unsuccessful on this occasion.
This vacancy is being advertised by Rullion Ltd acting as an employment business
Since 1978, Rullion has been securing exceptional candidates for a range of clients; from large well-known brands, to SMEs and start-ups. As a family-owned business, Rullion’s approach is credible and honest, focused on building long-lasting relationships with both clients and candidates.
Rullion is a forward-thinking recruitment company that specialises in providing a wide range of talent consultancy services to a diverse client base; from small start-ups to large household names.
We celebrate and support diversity and are committed to ensuring equal opportunities for both employees and applicants.
Engineering Parts Data Analyst employer: Rullion
Contact Detail:
Rullion Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Parts Data Analyst
✨Tip Number 1
Make sure to highlight your experience with data analysis in engineering contexts. Use specific examples from your past roles that demonstrate your ability to manage and analyze engineering parts data effectively.
✨Tip Number 2
Familiarize yourself with the digital systems mentioned in the job description, such as IFS, SAP, or IBM Maximo. If you have experience with these tools, be ready to discuss how you've used them to optimize asset management in previous positions.
✨Tip Number 3
Showcase your programming skills, especially in Python or SQL. Prepare to discuss any projects where you've used these languages for data manipulation or scripting, as this will demonstrate your technical proficiency.
✨Tip Number 4
If you have experience with data visualization tools like Power BI or Tableau, be sure to mention it. Think of examples where your visualizations led to actionable insights or improvements in asset management.
We think you need these skills to ace Engineering Parts Data Analyst
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities of the Engineering Parts Data Analyst position. Highlight your experience in data analysis and asset management, especially within the renewable energy sector.
Tailor Your CV: Customize your CV to reflect relevant experience, particularly focusing on your proficiency with inventory and asset management software like IFS, SAP, or IBM Maximo. Mention any programming skills you have, such as Python or SQL.
Craft a Strong Cover Letter: Write a compelling cover letter that connects your background to the job requirements. Emphasize your analytical skills and experience with data visualization tools like Power BI or Tableau.
Proofread Your Application: Before submitting, carefully proofread your application materials for any errors. Ensure that your documents are clear, concise, and free of typos to make a strong impression.
How to prepare for a job interview at Rullion
✨Know Your Data Tools
Make sure you are familiar with the inventory and asset management software mentioned in the job description, such as IFS, SAP, or IBM Maximo. Be prepared to discuss your experience with these tools and how you've used them in previous roles.
✨Showcase Your Analytical Skills
Prepare examples of how you've conducted data analysis in the past, especially related to engineering equipment. Highlight any trends you've identified and improvements you've implemented based on your findings.
✨Demonstrate Programming Awareness
Brush up on your programming knowledge, particularly in Python or SQL. Be ready to explain how you've used these languages for data manipulation and scripting in your previous roles.
✨Familiarize Yourself with Digital Systems
Understand the importance of digital systems in managing asset data. Be prepared to discuss any experience you have in developing or maintaining such systems, and how it relates to the role of Engineering Parts Data Analyst.
