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For Companies At a Glance
- Tasks: Build and manage a modern data warehouse, collaborating with stakeholders for impactful data solutions.
- Company: Market-leading UK business with a strong national presence.
- Benefits: Up to £70,000 salary, hybrid work, and a collaborative team environment.
- Other info: Opportunity to work in an agile environment with excellent career growth.
- Why this job: Make a real impact in a small team while driving insight and innovation.
- Qualifications: Strong experience with Azure Data Factory, SQL Data Warehouse, and Power BI.
The predicted salary is between 42000 - 84000 £ per year.
BI Analyst
UK Remote with occasional travel to a UK office
Salary up to £55,000
This is a standout opportunity for a BI Analyst to join a fast-scaling digital marketplace at a pivotal moment in its data journey. With a newly appointed Head of Commercial Insights, the organisation is rebuilding its analytics foundations from the ground up, creating real scope for you to shape how data is used across the business.
The Company
They are a high-growth marketplace operating in the education sector, with a strong commercial focus and a growing appetite for data-driven decision making. The business is investing heavily in its data stack, covering pipelines, data models, and BI. Data sits at the centre of product, commercial, and operational strategy, with analytics viewed as a critical enabler of growth.
The Role
You will act as a central BI partner, owning the foundations of reporting and insight across the organisation. Your work will span hands-on development and commercial analysis, with clear visibility and influence.
- Build and maintain robust data models using SQL, designed for analytics and BI consumption
- Develop automated, reliable reporting to replace manual spreadsheet-based processes
- Create dashboards and self-serve analytics in Omni, focusing on meaningful commercial KPIs
- Deliver product and marketplace insight, including retention, lifetime value, and user behaviour analysis
- Conduct exploratory and ad hoc analysis to uncover trends, risks, and growth opportunities
- Partner closely with senior stakeholders, translating business questions into clear analytical outputs
- Balance build and insight work, combining delivery with advisory input to the wider business
Your Skills and Experience
- Strong SQL skills with experience in data modelling and transformations
- Commercial or product analytics experience within a BI or analytics environment
- Experience working with BI tools such as Tableau, Looker, Power BI, or similar
- A solid understanding of KPI design, star schemas, and semantic layers
- Confidence working with non-technical stakeholders and challenging assumptions with data
- An adaptable mindset, comfortable operating in a scaling and evolving environment
Business Intelligence Analyst employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Analyst
✨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
Show off your skills! Create a portfolio showcasing your data warehouse projects, especially those involving Azure Data Factory and Power BI. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common BI Analyst questions and scenarios. Practice explaining your past projects and how you collaborated with stakeholders to deliver data solutions. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team and makes it easier for us to spot your application.
We think you need these skills to ace Business Intelligence Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the BI Analyst role. Highlight your experience with Azure Data Factory and SQL Data Warehouse, as well as any relevant projects that showcase your skills in data management and analytics.
Showcase Your Collaboration Skills: Since this role involves working closely with stakeholders, emphasise your ability to partner with others. Share examples of how you've gathered requirements and delivered solutions in previous roles to demonstrate your collaborative spirit.
Highlight Your Technical Expertise: Don’t forget to mention your hands-on experience with Power BI and CI/CD environments. We want to see how you’ve used these tools to create effective data models and reporting solutions, so be specific about your contributions.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you on our radar quickly!
How to prepare for a job interview at Harnham
✨Know Your Data Warehousing Inside Out
Make sure you brush up on your knowledge of data warehousing concepts, especially around Azure Data Factory and Azure SQL Data Warehouse. Be ready to discuss your previous experiences managing a data warehouse lifecycle and how you've tackled challenges in the past.
✨Showcase Your Collaboration Skills
Since this role involves working closely with stakeholders and Power BI developers, prepare examples that highlight your teamwork and communication skills. Think of specific instances where you successfully gathered requirements or collaborated on a project to deliver impactful data solutions.
✨Demonstrate Your Technical Proficiency
Be prepared to dive into technical discussions about CI/CD pipelines and how they relate to data integration. If you have experience with these processes, share it! If not, do some research so you can speak confidently about how you would engage with software development teams.
✨Adaptability is Key
This role values adaptability, especially in smaller, agile teams. Think of examples from your past where you had to pivot quickly or adjust your approach based on changing requirements. Highlighting your flexibility will show that you're a great fit for their collaborative environment.