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- Tasks: Transform data into insights and create impactful Power BI dashboards.
- Company: Leading engineering firm in Glasgow with a focus on innovation.
- Benefits: Competitive salary, pension, healthcare, and 33 days holiday.
- Other info: Join a stable, growing company with excellent career opportunities.
- Why this job: Make a real impact in engineering and manufacturing with your data skills.
- Qualifications: Experience in data analysis, Power BI, SQL, and MRP/ERP systems.
The predicted salary is between 28800 - 48000 £ per year.
Location: Glasgow | Type: Full-time, Permanent
Are you a commercially minded Data Analyst looking to make a real impact in a high-precision engineering and manufacturing environment? We are hiring for a leading engineering client at their Glasgow site, providing advanced manufacturing solutions across multiple sites in the UK and Poland.
In this role, you will extract, analyse, and transform MRP and operational data into actionable insights and intuitive Power BI dashboards that drive data-led decision-making across engineering and manufacturing operations.
- Data Analysis & Insight
- Analyse MRP data including materials, production, inventory, demand planning, capacity, and lead times
- Identify trends, risks, and opportunities within operational and manufacturing data
- Support root cause analysis for operational challenges such as stock shortages, excess inventory, or production inefficiencies
- Reporting & Power BI
- Design, develop, and maintain Power BI dashboards and reports
- Act as a trusted data partner to Operations, Supply Chain, Manufacturing, Finance, and Engineering teams
- Data Governance & Quality
- Ensure data integrity, consistency, and accuracy across reports and dashboards
- Document data definitions, metrics, and report logic
- Support improvements in data structures, data flows, and reporting processes
- Highlight data quality issues and work with system owners to resolve them
Proven experience in a Data Analyst or Business Intelligence role within manufacturing or engineering
Strong experience working with MRP/ERP data (materials, BOMs, routings, production orders, inventory)
Advanced Power BI skills and data modelling
Strong SQL skills for data extraction and transformation
Understanding of supply chain, production planning, and inventory management
Experience handling large, complex datasets across multiple business units
Curious and proactive, passionate about turning data into insight
Permanent, full-time role (40 hours/week, Monday–Friday) ~ Competitive salary ~ Benefits including pension, life insurance, private medical healthcare, and employee retail discounts ~ 33 days holiday per year (including Christmas closure) ~ Stable, long-term role within a growing engineering and manufacturing business
Data Analyst - Tableau, Power BI, SQL in Glasgow employer: First Achieve
Contact Detail:
First Achieve Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Tableau, Power BI, SQL in Glasgow
✨Tip Number 1
Network like a pro! Reach out to people in the engineering and manufacturing sectors on LinkedIn. Join relevant groups, engage in discussions, and don’t be shy to ask for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards and SQL projects. This is your chance to demonstrate how you turn data into actionable insights. Share it during interviews or even on your LinkedIn profile to catch the eye of recruiters.
✨Tip Number 3
Prepare for those interviews! Research the company’s recent projects and challenges in the engineering and manufacturing space. Be ready to discuss how your experience with MRP data and data governance can help them tackle their operational challenges.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly shows your enthusiasm and makes it easier for us to spot your application. Don’t miss out!
We think you need these skills to ace Data Analyst - Tableau, Power BI, SQL in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with MRP/ERP data, Power BI, and SQL. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data analysis and how you can make an impact in our engineering and manufacturing environment. Let us know why you're the perfect fit!
Showcase Your Projects: If you've worked on any relevant projects, don’t hold back! Include examples of dashboards you've created or insights you've derived from data. We love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at First Achieve
✨Know Your Data Tools
Make sure you brush up on your Power BI and SQL skills before the interview. Be ready to discuss specific projects where you've used these tools to analyse MRP data or create dashboards. This will show that you can hit the ground running!
✨Understand the Industry
Familiarise yourself with the engineering and manufacturing sectors, especially how data impacts operations. Research common challenges like stock shortages or production inefficiencies, and think about how your insights could help solve these issues.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems using data analysis. Practice articulating your thought process clearly, focusing on how you would identify trends or opportunities within operational data.
✨Show Your Curiosity
Demonstrate your passion for turning data into actionable insights. Share examples of how you've proactively sought out data quality improvements or optimised reporting processes in previous roles. This will highlight your commitment to excellence in data governance.