At a Glance
- Tasks: Dive deep into data analysis and modelling to uncover insights and shape data products.
- Company: Join a forward-thinking company with a focus on innovation and collaboration.
- Benefits: Enjoy hybrid working, flexible options, and a fast-paced environment.
- Other info: Great opportunity for career growth in a dynamic, data-driven setting.
- Why this job: Make an impact by transforming raw data into valuable insights and solutions.
- Qualifications: Strong SQL skills and experience with AWS are essential.
The predicted salary is between 35000 - 45000 € per year.
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 & Discovery (70%)
- Conduct detailed data discovery across multiple datasets, identifying structure, quality, and relationships
- Investigate and interrogate data to uncover insights and anomalies
- Work hands-on with SQL to query and analyse large datasets
- Support data grouping, profiling, and exploration activities
- Collaborate with stakeholders to define data requirements and translate these into actionable outputs
- Contribute to the creation and refinement of data products
- Data Modelling (30%)
- Develop and maintain logical data models (LDM)
- Map and align data structures to Federated Data Models (FDM)
- Support data standardisation processes, particularly from raw data sources
- Work closely with architecture and engineering teams on data product architecture
- Ensure consistency and best practice across data modelling and design
- Strong SQL skills (essential)
- Experience working with AWS (including S3 buckets)
- Exposure to data product architecture
- Understanding of raw data ingestion and standardisation
- Experience collaborating with data engineering / extract engineering teams
- Ability to write and refine technical user stories
- Highly analytical with a strong focus on data investigation and discovery
- Comfortable working in data-heavy, complex environments
- Strong understanding of logical data modelling principles
- Ability to bridge the gap between business needs and technical delivery
- Proactive, detail-oriented, and confident working with ambiguous datasets
- Hybrid working: 1 day per week onsite (Wednesday) in either Edinburgh or Manchester
- Flexible engagement options available
- Fast-paced, delivery-focused environment
Locations
Data Analyst in Cheshire, Warrington employer: Impellam Group
Join a dynamic team as a Data Analyst in either Edinburgh or Manchester, where you'll thrive in a hybrid working environment that promotes flexibility and work-life balance. Our culture fosters collaboration and innovation, providing you with ample opportunities for professional growth while working on cutting-edge AWS-based data products. With a focus on meaningful data analysis and discovery, you'll play a crucial role in shaping data solutions that drive business success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Cheshire, Warrington
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common data analyst questions and scenarios. Use real datasets to showcase your SQL skills and analytical thinking. The more you practice, the more confident you'll feel when it’s time to shine!
✨Tip Number 3
Don’t just apply through job boards; head over to our website and check out the latest openings. Applying directly can sometimes give you an edge, as it shows your enthusiasm for the company and its culture.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Mention something specific from your conversation to show you were engaged and are genuinely interested in the role.
We think you need these skills to ace Data Analyst in Cheshire, Warrington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight your SQL skills and any experience with AWS, as these are essential for us. Use keywords from the job description to show you’re a perfect fit!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you’re passionate about data analysis and how your experience aligns with our needs. Don’t forget to mention your ability to bridge business and technical requirements.
Showcase Your Analytical Skills:In your application, provide examples of how you've conducted data discovery and analysis in the past. We love seeing real-world applications of your skills, so share any relevant projects or insights you've uncovered!
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. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Impellam Group
✨Know Your SQL Inside Out
Since strong SQL skills are essential for this role, make sure you brush up on your SQL knowledge. Be prepared to discuss your experience with querying large datasets and maybe even tackle a few SQL problems during the interview.
✨Understand Data Modelling Principles
Familiarise yourself with logical data modelling principles and be ready to explain how you've applied them in past projects. This will show that you can bridge the gap between business needs and technical delivery, which is crucial for the role.
✨Showcase Your Analytical Skills
Prepare examples of how you've conducted detailed data analysis and discovery in previous roles. Highlight any insights or anomalies you uncovered and how they impacted decision-making. This will demonstrate your analytical prowess.
✨Collaborate and Communicate
Since you'll be working closely with engineering teams and stakeholders, think of examples where you've successfully collaborated on data requirements. Emphasise your ability to translate business needs into technical user stories, as this is key to the role.
