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- Tasks: Analyse complex datasets to improve electronics manufacturing processes and drive efficiency.
- Company: Join a leading Defence customer in the electronics manufacturing sector.
- Benefits: Enjoy a hands-on role with opportunities for mentorship and professional growth.
- Why this job: Make a real impact in Defence while collaborating with engineers and production teams.
- Qualifications: Must have current SC clearance and experience in data analysis within electronics manufacturing.
- Other info: This is a mid-senior level contract position, ideal for immediate contributors.
The predicted salary is between 36000 - 60000 £ per year.
Data Analyst (Electronics Manufacturing) – Defence
We are seeking a Data Analyst with a strong background in Electronic Engineering and Manufacturing to support a leading Defence customer. This is a hands-on role focused on analysing complex datasets across the electronics production lifecycle to drive improvements in efficiency, reliability, and performance. The ideal candidate will be currently SC cleared and able to commute to Bolton.
Key Responsibilities
- Analyse complex datasets from various stages of the electronics production lifecycle.
- Identify trends, anomalies, and improvement opportunities in manufacturing processes, test results, and supply chain data.
- Develop and implement data-driven solutions to enhance production efficiency, reduce waste, and improve product reliability.
- Collaborate with electronics engineers, production teams, and quality assurance specialists to translate insights into actionable improvements.
- Design and build dashboards and reports to communicate findings to both technical and non-technical stakeholders.
- Proactively improve data collection methods, tools, and data management practices in a low-volume production environment.
- Contribute to the development and implementation of performance measurement frameworks across production areas.
- Potentially mentor junior data analysts and contribute to team capability development.
Required Skills and Experience
- Current SC Clearance (mandatory).
- Proven experience in data analysis within electronics manufacturing or engineering environments.
- Strong understanding of electronic engineering principles and production processes.
- Proficiency in data analysis tools (e.g., Python, R, SQL, Excel, Power BI, Tableau).
- Experience designing and implementing dashboards and reports for diverse audiences.
- Ability to work with cross-functional teams and translate data into operational improvements.
- Familiarity with performance metrics, continuous improvement, and quality assurance in manufacturing.
- Excellent communication and problem-solving skills.
Desirable
- Experience in Defence or Aerospace manufacturing environments.
- Knowledge of supply chain analytics and test data interpretation.
- Exposure to low-volume, high-complexity production settings.
Seniority level
- Mid-Senior level
Employment type
- Contract
We are seeking to fill this role promptly and are looking for candidates who can contribute immediately to project goals.
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Data Analyst (Electronics Manufacturing)- Defence employer: Positiv Cohort Ltd
Contact Detail:
Positiv Cohort Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Electronics Manufacturing)- Defence
✨Tip Number 1
Make sure to highlight your current SC clearance in conversations and networking opportunities. This is a mandatory requirement for the role, and mentioning it upfront can set you apart from other candidates.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in electronics manufacturing. Being able to discuss recent advancements or case studies during interviews can demonstrate your passion and knowledge in the field.
✨Tip Number 3
Network with professionals in the defence sector, especially those involved in electronics manufacturing. Attend industry events or join relevant online forums to connect with potential colleagues and learn about unadvertised job opportunities.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data analysis tools like Python or SQL to drive improvements in previous roles. Real-world examples can help illustrate your capabilities and make a strong impression during interviews.
We think you need these skills to ace Data Analyst (Electronics Manufacturing)- Defence
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis specifically within electronics manufacturing. Emphasise your proficiency with relevant tools like Python, R, SQL, and any dashboarding software you've used.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Data Analyst role within the Defence sector. Mention your current SC clearance and how your background aligns with the responsibilities outlined in the job description.
Showcase Relevant Projects: If you have worked on projects that involved analysing complex datasets or improving manufacturing processes, be sure to include these examples in your application. Highlight specific outcomes and improvements achieved.
Highlight Soft Skills: Don't forget to mention your communication and problem-solving skills. These are crucial for collaborating with cross-functional teams and translating data insights into actionable improvements.
How to prepare for a job interview at Positiv Cohort Ltd
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in data analysis tools like Python, R, SQL, and Power BI during the interview. Be prepared to discuss specific projects where you've used these tools to analyse complex datasets and drive improvements in manufacturing processes.
✨Demonstrate Your Understanding of Electronics Manufacturing
Since the role focuses on electronics manufacturing, it's crucial to convey your understanding of electronic engineering principles and production processes. Prepare examples that illustrate how you've applied this knowledge to identify trends and improve efficiency in previous roles.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to work with cross-functional teams. Think of situations where you successfully collaborated with engineers or production teams to translate data insights into actionable improvements.
✨Communicate Clearly with Diverse Audiences
As you'll be designing dashboards and reports for both technical and non-technical stakeholders, practice explaining complex data findings in simple terms. This will demonstrate your communication skills and ability to make data accessible to all team members.
