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- Tasks: Assist in database design, creation, and testing for business needs.
- Company: Scottish Power, a leader in energy solutions with a hybrid work culture.
- Benefits: Competitive pay, flexible working arrangements, and a 12-month contract.
- Why this job: Join a dynamic team and enhance your data management skills in a real-world setting.
- Qualifications: Experience with databases and a passion for data analysis.
- Other info: Great opportunity for career growth in the energy sector.
The predicted salary is between 36000 - 60000 £ per year.
Role: SAP Data Administrator
Overview: Hybrid Role, Competitive rate (umbrella or PAYE), 12 month contract, Glasgow
Expectations:
- Assists in database design and creation and amends existing databases to address requests from the business.
- Tests data model changes once deployed.
- Extracts data and assists others in the use of the database.
- Supports the Data Model Analyst.
Data Administrator in Milton employer: Morson Edge
Contact Detail:
Morson Edge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Administrator in Milton
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Scottish Power. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! When you get the chance to chat with potential employers, be ready to discuss specific projects or experiences that highlight your database design and data extraction skills. Real examples make you stand out!
✨Tip Number 3
Don’t forget to follow up! After any interviews or networking chats, drop a quick thank-you email. It shows your enthusiasm and keeps you fresh in their minds. Plus, it’s just good manners!
✨Tip Number 4
Apply through our website! We’ve got loads of resources to help you ace your application and connect with the right people. Plus, it’s the best way to ensure your application gets seen by the right eyes.
We think you need these skills to ace Data Administrator in Milton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Administrator role. Highlight your experience with database design and any relevant SAP knowledge. We want to see how your skills match what we're looking for!
Showcase Your Skills: In your cover letter, don’t just list your skills—show us how you've used them in real situations. Talk about specific projects where you’ve tested data model changes or supported data analysis. We love seeing practical examples!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points for easy reading and make sure to proofread for any typos. We appreciate a well-organised application that gets straight to the good stuff!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to us. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Morson Edge
✨Know Your Data
Make sure you brush up on your knowledge of database design and data models. Be prepared to discuss how you've previously created or amended databases, and be ready to share specific examples of your work with SAP or similar systems.
✨Showcase Your Testing Skills
Since testing data model changes is a key part of the role, come equipped with examples of how you've tested data changes in the past. Highlight any tools or methodologies you used to ensure accuracy and reliability in your testing process.
✨Be Ready to Extract Insights
Prepare to talk about your experience in extracting data and how you've assisted others in using databases effectively. Think of scenarios where your insights led to better decision-making or improved processes within your team or organisation.
✨Support and Collaboration
This role involves supporting the Data Model Analyst, so be ready to discuss how you’ve collaborated with others in previous roles. Share examples of teamwork and how you’ve contributed to collective goals, especially in data-related projects.
