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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 advanced manufacturing.
- Benefits: Competitive salary, pension, private healthcare, and 33 days holiday.
- Other info: Join a stable, innovative team dedicated to data-driven decision-making.
- Why this job: Make a real impact in a dynamic engineering environment with growth opportunities.
- Qualifications: Experience in data analysis, SQL, and Power BI; knowledge of MRP/ERP systems.
The predicted salary is between 28800 - 48000 £ per year.
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
- Design, develop, and maintain Power BI dashboards and reports
- Act as a trusted data partner to Operations, Supply Chain, Manufacturing, Finance, and Engineering teams
- 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 SQL Python Tableau in Glasgow employer: First Achieve
Contact Detail:
First Achieve Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst SQL Python Tableau 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 any SQL projects you've worked on. This gives potential employers a tangible look at what you can do and sets you apart from the competition.
✨Tip Number 3
Prepare for those interviews! Research common data analyst interview questions and practice your answers. Be ready to discuss how you've used data to solve real-world problems, especially in manufacturing or engineering contexts.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. Tailor your application to highlight your experience with MRP/ERP data and your passion for turning data into actionable insights. Let’s get you that dream job!
We think you need these skills to ace Data Analyst SQL Python Tableau in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with MRP/ERP data, SQL, and Power BI. We want to see how your skills align with 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 complex datasets. 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. We can't wait to hear from you!
How to prepare for a job interview at First Achieve
✨Know Your Data Inside Out
Before the interview, dive deep into the types of MRP and operational data you'll be working with. Familiarise yourself with key metrics like inventory levels, production orders, and lead times. This will not only help you answer questions confidently but also demonstrate your genuine interest in the role.
✨Show Off Your Power BI Skills
Prepare to discuss your experience with Power BI by bringing examples of dashboards you've created. If possible, have a portfolio ready to showcase your work. Being able to talk through your design choices and how they drive decision-making will impress your interviewers.
✨Brush Up on SQL Queries
Since strong SQL skills are crucial for this role, practice writing queries that extract and transform data. Be ready to explain your thought process when solving data-related problems. This will show that you can handle the technical demands of the job.
✨Demonstrate Your Curiosity
Employers love candidates who are curious and proactive. Prepare some insightful questions about the company's data challenges or their approach to data governance. This not only shows your enthusiasm but also positions you as a potential problem-solver for their team.