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- Tasks: Analyse data trends and design predictive models to optimise construction processes.
- Company: Leading construction company in Kilsyth, Scotland with a focus on innovation.
- Benefits: Competitive salary, flexible working options, healthcare, and professional development.
- Why this job: Join a dynamic team and make a real impact in the construction industry.
- Qualifications: 3+ years of data analysis experience and strong relationship-building skills.
- Other info: Exciting opportunities for career growth in a supportive environment.
The predicted salary is between 30000 - 50000 £ per year.
A leading construction company in Kilsyth, Scotland is seeking a skilled Data Analyst to optimize and maintain data. You will design data modelling processes, analyze data for trends, and collaborate with stakeholders.
The ideal candidate has 3+ years of experience, strong skills in data analysis, and building relationships.
The role offers competitive salary, flexible working options, and comprehensive benefits including healthcare and professional development opportunities.
Data Analyst: Predictive Models & Power BI Insights in Kilsyth employer: Bam Uk & Ireland
Contact Detail:
Bam Uk & Ireland Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst: Predictive Models & Power BI Insights in Kilsyth
✨Tip Number 1
Network like a pro! Reach out to people in the construction and data analysis fields on LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and Power BI insights. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. We recommend practising with a friend or using mock interview tools to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed, and we love seeing candidates who take that extra step.
We think you need these skills to ace Data Analyst: Predictive Models & Power BI Insights in Kilsyth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis and predictive modelling. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Technical Skills: Since this role involves Power BI and data modelling, make sure to mention any specific tools or technologies you’ve worked with. We’re keen to see your technical prowess, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to join our fantastic team!
How to prepare for a job interview at Bam Uk & Ireland
✨Know Your Data Models
Make sure you brush up on your knowledge of data modelling processes. Be ready to discuss specific models you've designed in the past and how they contributed to insights or decision-making. This will show your expertise and ability to optimise data effectively.
✨Showcase Your Analytical Skills
Prepare examples of how you've analysed data for trends in previous roles. Use concrete numbers or outcomes to illustrate your impact. This will help demonstrate your strong skills in data analysis, which is crucial for the role.
✨Build Rapport with Stakeholders
Since collaboration is key, think of instances where you've successfully worked with stakeholders. Be ready to share how you built those relationships and how it benefited the project. This will highlight your interpersonal skills and ability to work in a team.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and how they use Power BI. This shows your genuine interest in the role and helps you understand if the company aligns with your career goals, especially regarding professional development opportunities.
