At a Glance
- Tasks: Enhance data reporting and integration using Azure and Databricks.
- Company: Leading UK retail and technology business with a collaborative culture.
- Benefits: Competitive salary, hybrid work model, and potential for contract extension.
- Other info: Join a supportive team and work with modern tech tools.
- Why this job: Shape data processes and make a real impact in a well-known brand.
- Qualifications: Strong Azure and SQL skills, with experience in MI and reporting.
The predicted salary is between 43000 - 43000 £ per year.
We’re looking for a technically strong and commercially aware MI & Data Integration Analyst to join a leading UK retail and technology business on an initial 3-month fixed-term contract. This is a great opportunity for someone who enjoys combining hands-on data analysis, reporting, and Azure integration work — helping build robust data foundations and self-serve reporting capability for an evolving business area.
The Opportunity
You’ll be supporting a small, forward-thinking team to improve how they use data — helping them access accurate and timely MI, streamline processes, and migrate to a new Azure-based data environment. You’ll take ownership of reporting improvements, work closely with third-party partners on offshoring data processes, and support the move of key datasets into the Unity Catalog environment.
Key Responsibilities
- Produce and enhance accurate, timely, and insightful MI reports to support business decision-making.
- Develop and maintain data tables and integrations within Azure Databricks and the Unity Catalog to enable self-serve data access.
- Define and deliver process maps for transferring data ingestion from internal teams to offshore partners.
- Provide hands-on SQL expertise to design, optimise, and validate queries.
- Support and guide third-party teams (Infosys) to ensure tasks meet agreed standards and timelines.
- Document and communicate MI processes to support troubleshooting and continuous improvement.
- Ensure all activity aligns with data governance and confidentiality standards.
Skills & Experience
- Strong working knowledge of Azure and related integration tools.
- SQL proficiency, ideally with experience in Databricks.
- Proven experience in management information (MI) and reporting — ideally using Power BI and Excel.
- Comfortable building, testing, and optimising data pipelines or integrations.
- Excellent communication and stakeholder skills, able to explain data insight to non-technical users.
- Analytical mindset — able to approach problems logically and holistically, considering downstream impact.
- Experience with Python is desirable, but not essential.
What’s in it for you
- The chance to shape data processes within a well-known UK brand.
- Work with a modern Azure tech stack (Databricks, Power BI, Unity Catalog).
- Collaborative and supportive hybrid team culture (2-3 days a week in London office).
- 3-month FTC with a strong chance of extension, depending on project timelines and delivery.
If you’re a data professional who enjoys improving data accessibility, building better reporting, and enabling teams to make smarter, data-driven decisions — we’d love to hear from you.
Data Analyst employer: InterQuest Group
Join a leading UK retail and technology business that values innovation and collaboration, offering a supportive hybrid work culture in the heart of Central London. As a Data Analyst, you'll have the opportunity to shape data processes and work with cutting-edge Azure technologies, all while enjoying a flexible work environment that promotes professional growth and development. With a strong potential for contract extension, this role is perfect for those looking to make a meaningful impact in a dynamic team.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like InterQuest Group before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like InterQuest Group.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like InterQuest Group.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at InterQuest Group, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to InterQuest Group, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab InterQuest Group’s attention and show the tangible impact of your work.
How to prepare for a job interview at InterQuest Group
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at InterQuest Group.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at InterQuest Group.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at InterQuest Group.
