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For Companies At a Glance
- Tasks: Transform data into insights that drive smart decisions across various teams.
- Company: Join a growing manufacturing business with a focus on innovation and collaboration.
- Benefits: Enjoy competitive salary, comprehensive benefits, and 33 days of annual leave.
- Why this job: Make a real impact by turning complex data into actionable insights.
- Qualifications: Experience in data analysis, Power BI, and strong SQL skills required.
- Other info: Stable, full-time role with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 Ā£ per year.
The Data Analyst will play a critical role in transforming MRP and operational data into meaningful insights that drive informed, dataāled decisionāmaking. Working closely with Manufacturing, Supply Chain, Engineering, Finance, and Operations, this role will enhance visibility of performance, identify trends, and support continuous improvement across the business.
Key Responsibilities
- Analyse MRP data relating to materials, production, inventory, demand planning, capacity, and lead times.
- Identify trends, risks, and opportunities within operational and manufacturing datasets.
- Translate complex data into clear, actionable insights for nonātechnical stakeholders.
- Support rootācause investigations for issues such as stock shortages, excess inventory, late orders, and production inefficiencies.
- Design, develop, and maintain Power BI dashboards and reports for teams across the Group.
- Ensure reporting is accurate, visually engaging, and aligned to agreed KPIs.
- Build automated and selfāservice reporting solutions to improve data accessibility.
- Continuously refine and enhance existing reports based on feedback and evolving business needs.
- Contribute to the standardisation of core metrics and reporting practices across sites.
- Partner with functional leads to understand reporting requirements and business challenges.
- Act as a trusted data advisor to Operations, Manufacturing, Supply Chain, Engineering, and Finance.
- Present findings clearly and confidently to diverse technical and nonātechnical audiences.
- Support teams in interpreting and utilising reports to improve performance and decisionāmaking.
- Ensure data accuracy, consistency, and completeness across all dashboards and reporting outputs.
- Document data definitions, KPIs, and logic to support transparency and repeatability.
- Assist in improving data structures, data flows, and reporting processes.
- Identify data quality issues and work with system owners to resolve them.
Skills & Experience
Essential
- Proven experience as a Data Analyst or Business Intelligence specialist within a manufacturing or engineering environment.
- Strong working knowledge of MRP/ERP data (materials, BOMs, routings, production orders, inventory, etc.).
- Advanced skills in Power BI, including data modelling and DAX.
- Strong SQL skills for data extraction, transformation, and querying.
- Ability to communicate insights clearly to both technical and nonātechnical audiences.
- Highly analytical with excellent attention to detail.
Desirable
- Experience within engineering or discrete manufacturing industries.
- Understanding of supply chain, production planning, or inventory management principles.
- Experience working with large, complex datasets across multiple business units.
- Exposure to lean, CI, or continuous improvement methodologies.
Personal Attributes
- Naturally curious and proactive, with a passion for transforming data into meaningful insight.
- Collaborative and stakeholderāfocused, able to build strong working relationships.
- Confident in challenging assumptions with evidence-based reasoning.
- Highly organised, able to manage multiple tasks and deadlines.
- Commercially aware with a continuous improvement mindset.
What's in It for You?
- Permanent, fullātime position (40 hours per week, Monday to Friday).
- Competitive salary.
- Comprehensive benefits including pension, life insurance, private medical healthcare, and employee retail discounts.
- 33 days of annual leave, including a Christmas closure period.
- A stable, longāterm opportunity within a growing manufacturing business.
Data Analyst (Engineering) in Glasgow employer: Maxwell Consultancy
Contact Detail:
Maxwell Consultancy Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Data Analyst (Engineering) in Glasgow
āØTip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
āØTip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Power BI. This will give potential employers a taste of what you can do and set you apart from the crowd.
āØTip Number 3
Prepare for interviews by practising common data analyst questions and scenarios. Think about how you can explain complex data insights in simple terms, as you'll need to communicate with both technical and non-technical folks.
āØTip Number 4
Donāt forget to apply through our website! Itās the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analyst (Engineering) in Glasgow
Some tips for your application š«”
Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with MRP/ERP data and Power BI, and donāt forget to showcase your analytical skills. We want to see how you can transform data into insights!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis in a manufacturing context. Share specific examples of how you've used data to drive decisions and improvements in previous roles.
Showcase Your Technical Skills: Donāt hold back on your technical prowess! Make sure to mention your SQL skills and any experience with large datasets. We love candidates who can demonstrate their ability to communicate complex data clearly to all stakeholders.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. Itās the best way for us to receive your application and get to know you better. Plus, it shows youāre keen on joining our team!
How to prepare for a job interview at Maxwell Consultancy
āØKnow Your Data Inside Out
Before the interview, dive deep into MRP and operational data concepts. Be ready to discuss how youāve transformed complex datasets into actionable insights in your previous roles. This will show that you understand the core responsibilities of the Data Analyst position.
āØShow Off Your Power BI Skills
Prepare to demonstrate your Power BI expertise. Bring examples of dashboards you've created or reports you've developed. If possible, practice explaining these to someone who isnāt technical, as this role requires clear communication with diverse audiences.
āØBe a Stakeholder Champion
Think about how youāve collaborated with different teams in the past. Be ready to share specific examples of how youāve partnered with stakeholders to identify reporting requirements and solve business challenges. This will highlight your collaborative nature and stakeholder focus.
āØEmphasise Your Analytical Mindset
Prepare to discuss your approach to identifying trends and risks within datasets. Share examples of how your analytical skills have led to improvements in processes or decision-making. This will demonstrate your proactive attitude and continuous improvement mindset.
