At a Glance
- Tasks: Dive deep into data analysis and help shape data products in a modern AWS environment.
- Company: Join a forward-thinking company in Edinburgh or Manchester with a hybrid work model.
- Benefits: Enjoy a competitive contract, flexible working, and the chance to grow your skills.
- Other info: Collaborate with engineering teams and enjoy a dynamic, supportive work culture.
- Why this job: Make an impact by transforming raw data into valuable insights and solutions.
- Qualifications: Strong analytical skills and experience in data modelling are essential.
The predicted salary is between 35000 - 45000 £ per year.
Location: Edinburgh or Manchester (Hybrid – 1 day onsite per week, Wednesdays)
Type: Contract
Overview
We’re looking for a highly data-focused Data Analyst to support the development of data products within a modern AWS-based architecture. This role is centred on deep data analysis and discovery (70%), alongside logical data modelling (30%), helping shape how raw data is standardised, structured, and consumed. You’ll work closely with engineering teams, translating business needs into technical user stories and supporting the evolution of scalable data solutions.
Key Responsibilities
- Data Analysis
Data Analyst employer: Impellam Group
Join a forward-thinking company that values innovation and collaboration, offering a hybrid work model that promotes work-life balance. With a strong focus on employee development, you will have access to continuous learning opportunities and the chance to work with cutting-edge technology in a vibrant city like Edinburgh or Manchester. Our inclusive work culture encourages creativity and teamwork, making it an ideal environment for data professionals looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Use real-world examples to demonstrate how you've tackled complex problems and delivered insights. This will make you stand out when applying through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with AWS, data modelling, and translating business needs into technical stories. Practice common interview questions to boost your confidence.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in leaving a positive impression. It shows your enthusiasm for the role and keeps you fresh in their minds as they make their decision.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your data analysis skills and experience. We want to see how you've tackled data challenges in the past, so don’t hold back on showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Relevant Projects:If you've worked on any data projects, be sure to mention them in your application. We’re keen to see examples of your analytical skills and how you've used data to drive decisions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Impellam Group
✨Know Your Data
Before the interview, brush up on your data analysis skills. Be prepared to discuss specific tools and techniques you've used in past projects, especially those related to AWS. This will show that you’re not just familiar with data but can also apply your knowledge effectively.
✨Understand the Business Context
Make sure you understand how data analysis impacts business decisions. Research the company’s products and services, and think about how your role as a Data Analyst can contribute to their success. This will help you translate business needs into technical user stories during the interview.
✨Prepare for Technical Questions
Expect some technical questions related to data modelling and analysis. Review common data structures and be ready to explain your thought process when solving data-related problems. Practising with sample questions can give you the confidence you need.
✨Show Your Collaborative Spirit
Since this role involves working closely with engineering teams, highlight your teamwork skills. Share examples of how you’ve successfully collaborated with others in the past, particularly in translating complex data insights into actionable plans. This will demonstrate that you can bridge the gap between technical and non-technical stakeholders.
