Business Intelligence Manager

Business Intelligence Manager

Full-Time 60000 - 75000 £ / year (est.) Home office (partial)
iQ Student Accommodation

At a Glance

  • Tasks: Lead the development of innovative BI solutions and manage a high-performing team.
  • Company: Join iQ, one of the UK's largest student accommodation providers.
  • Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
  • Why this job: Shape the future of data and AI while making a real impact on student experiences.
  • Qualifications: Strong BI experience, leadership skills, and proficiency in Microsoft Data & Analytics.
  • Other info: Dynamic, supportive environment with a focus on collaboration and innovation.

The predicted salary is between 60000 - 75000 £ per year.

Overview

iQ is one of the UK's biggest providers of student accommodation, committed to giving our 34,000 students in 85 sites across 29 UK cities their best year yet. Our London and Manchester based support teams are the cog that keeps the iQ wheels turning, providing our brilliant site teams with everything they need to deliver a fantastic student experience every day. iQers are a pretty special bunch. Our team is bursting with independent thinkers and problem solvers, who join us to explore what's possible and build a career as part of a diverse, fun and supportive team. If you have people skills, personality and potential then you have all the makings of a great iQer.

About the role

As our BI Manager, you'll play a key role in shaping the future of data, analytics and AI Innovation at iQ. Reporting to the Head of BI & Technology Solutions, you'll lead the development of end-to-end BI, reporting and intelligence solutions while managing and developing a high-performing BI team. You'll turn complex business needs into smart, scalable data products. From data modelling and ETL design to dashboards, predictive analytics and AI-enabled insights. You'll champion data quality, drive best-practice engineering, and help expand our use of AI-powered automation and decision support.

Working closely with our development and engineering teams, you'll evolve our BI warehouse, data models and reporting ecosystem using Microsoft Fabric and modern analytics tools. You'll deliver in a fast-paced, agile environment, balancing rapid prototyping with robust engineering standards.

Key Responsibilities

  • Leading hands-on development of reliable, scalable BI solutions
  • Translating business requirements into well-designed data models, reporting and analytics
  • Managing planning, prioritisation and delivery of BI projects and workstreams
  • Monitoring and optimising the BI platform, preparing it for future AI capabilities
  • Shaping the BI roadmap and identifying opportunities for enhanced reporting, data access and AI driven improvements
  • Designing and implementing modern cloud-based BI architecture
  • Developing robust data models and Star Schemas for consistent reporting
  • Coaching and developing the BI team, supporting collaboration and high performance
  • Running QA, testing and peer reviews to ensure accuracy and maintainability
  • Delivering training and supporting the adoption of AI enhanced BI features

Skills and Experience

  • Strong experience delivering impactful BI and analytics solutions
  • Deep hands-on expertise with the Microsoft Data & Analytics Platform, including Microsoft Fabric and advanced Power BI
  • Strong data modelling and warehousing skills
  • Proficiency in T-SQL and Python for analytics, automation or light ML
  • Understanding of statistical methods and modern AI-driven BI capabilities
  • Proven leadership experience, coaching a BI or analytics team and managing multiple workstreams
  • Excellent communication skills with both technical and non-technical stakeholders
  • Highly organised, adaptable and comfortable working in a fast-paced environment

We operate a hybrid working model with 3 days in the office and 2 days working from home / site location.

Ready to feel like you've got the best job ever? Apply today and find out what it's really like to work at iQ!

Business Intelligence Manager employer: iQ Student Accommodation

At iQ, we pride ourselves on being a leading provider of student accommodation, where our vibrant London and Manchester teams foster a culture of innovation and collaboration. As a Business Intelligence Manager, you'll not only have the opportunity to shape data-driven strategies but also benefit from a supportive work environment that encourages personal growth and professional development. With a hybrid working model and a focus on AI-driven solutions, iQ offers a unique chance to make a meaningful impact while enjoying a fulfilling career in a dynamic industry.
iQ Student Accommodation

Contact Detail:

iQ Student Accommodation Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Business Intelligence Manager

✨Tip Number 1

Network like a pro! Reach out to current iQers on LinkedIn or at industry events. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

✨Tip Number 2

Prepare for the interview by diving deep into iQ's values and recent projects. Show us that you’re not just another candidate; you’re genuinely excited about what we do and how you can contribute.

✨Tip Number 3

Practice your storytelling skills! When discussing your past experiences, frame them in a way that highlights your problem-solving abilities and how they relate to the BI role. We love a good story!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the iQ team.

We think you need these skills to ace Business Intelligence Manager

Business Intelligence (BI) Development
Data Modelling
ETL Design
Predictive Analytics
AI-Enabled Insights
Data Quality Management
Microsoft Fabric
Power BI
T-SQL
Python
Statistical Methods
Cloud-Based BI Architecture
Team Leadership
Project Management
Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Business Intelligence Manager role. Highlight your experience with Microsoft Fabric, data modelling, and any leadership roles you've had. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about BI and how you can contribute to our team. Be sure to mention specific projects or achievements that showcase your expertise.

Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex business needs in the past. We love independent thinkers, so share stories that demonstrate your ability to turn challenges into smart, scalable solutions.

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’re considered for the role. Plus, it shows us you’re keen on joining the iQ team!

How to prepare for a job interview at iQ Student Accommodation

✨Know Your BI Stuff

Make sure you brush up on your knowledge of Business Intelligence tools, especially Microsoft Fabric and Power BI. Be ready to discuss how you've used these tools in past projects and how they can be applied to iQ's needs.

✨Showcase Your Leadership Skills

As a BI Manager, you'll need to demonstrate your leadership abilities. Prepare examples of how you've coached teams or managed multiple workstreams effectively. Highlight your experience in fostering collaboration and high performance.

✨Understand the Business

Get familiar with iQ's business model and the student accommodation sector. Think about how data-driven decisions can enhance the student experience and be prepared to share your ideas on this during the interview.

✨Prepare for Technical Questions

Expect some technical questions around data modelling, ETL design, and AI capabilities. Brush up on T-SQL and Python, and be ready to explain your thought process when solving complex data problems.

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