At a Glance
- Tasks: Dive deep into data analysis and modelling to shape innovative data products.
- Company: Join a forward-thinking company in a dynamic, hybrid work environment.
- Benefits: Enjoy flexible working, competitive pay, and opportunities for professional growth.
- Other info: Collaborate with engineering teams in a fast-paced, supportive atmosphere.
- 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.
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 & 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
Technical Environment & Experience
- 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
Skills & Profile
- 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
Additional Information
- Hybrid working: 1 day per week onsite (Wednesday) in either Edinburgh or Manchester
- Flexible engagement options available
- Fast-paced, delivery-focused environment
Data Analyst in Warrington employer: Impellam Group
Join a dynamic team as a Data Analyst in either Edinburgh or Manchester, where you'll thrive in a hybrid work environment that promotes flexibility and collaboration. Our culture prioritises employee growth, offering opportunities to develop your skills in data analysis and modelling while working with cutting-edge AWS technology. With a focus on innovation and teamwork, we ensure that every team member contributes to meaningful projects that drive impactful data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Warrington
✨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, especially those involving SQL and AWS. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions and scenarios. Practice explaining your thought process when analysing datasets and how you’ve tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Analysts, and applying directly can give you a better chance of landing that dream role.
We think you need these skills to ace Data Analyst in 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 key for us. Use specific examples that showcase your analytical abilities and how you've tackled data challenges in the past.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about data analysis and how you can contribute to our team. Mention your experience with data discovery and modelling, and don’t forget to show a bit of personality – we love that!
Showcase Relevant Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's a personal project or something from a previous job, demonstrating your hands-on experience with data analysis and SQL will definitely catch our eye.
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. Plus, you’ll get to see more about our culture and what it’s like to work at StudySmarter!
How to prepare for a job interview at Impellam Group
✨Know Your SQL Inside Out
Since strong SQL skills are essential for this Data Analyst role, make sure you brush up on your SQL knowledge. Be prepared to discuss your experience with querying large datasets and maybe even solve 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 discovery and analysis 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, practice articulating how you've translated business needs into technical user stories. Good communication skills are key, so be ready to discuss your collaborative experiences.
