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- Tasks: Shape data usage across a fast-growing digital marketplace and develop impactful insights.
- Company: Join a high-growth education marketplace focused on data-driven decisions.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of a data revolution and influence key business strategies.
- Qualifications: Strong SQL skills and experience in BI tools like Tableau or Power BI.
- Other info: Dynamic role with hands-on development and significant visibility across the organisation.
The predicted salary is between 40000 - 50000 £ per year.
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.
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.
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
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. Confidence working with non-technical stakeholders and challenging assumptions with data.
Locations
Business, Intelligence & Database Analyst in Devon, Plymouth employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business, Intelligence & Database Analyst in Devon, Plymouth
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in BI roles. Use platforms like LinkedIn to connect and engage with them. 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 SQL projects, dashboards, and any analytical insights you've delivered. This will give potential employers a taste of what you can bring to the table and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common BI scenarios and case studies. Be ready to discuss how you've tackled data challenges in the past and how you can apply that experience to their business. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it gives you a better chance of being noticed by our hiring team. So, get your application in and let’s make some data magic happen!
We think you need these skills to ace Business, Intelligence & Database Analyst in Devon, Plymouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the BI Analyst role. Highlight your SQL skills, experience with BI tools, and any commercial analytics you've done. We want to see how your background aligns with our data-driven focus!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how you can contribute to our analytics journey. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them! Include examples of how you've built data models, created dashboards, or conducted insightful analyses. We love seeing real-world applications of your expertise.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Harnham
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be ready to discuss your experience with data modelling and transformations, as well as how you've used SQL in past projects. Practising some common SQL queries can help you feel more confident when discussing technical aspects.
✨Showcase Your BI Tool Experience
Familiarise yourself with the BI tools mentioned in the job description, like Tableau or Power BI. Prepare examples of dashboards or reports you've created, and be ready to explain how they contributed to decision-making. This will demonstrate your hands-on experience and understanding of the tools.
✨Prepare for Stakeholder Engagement
Since you'll be working closely with senior stakeholders, think about how you've translated complex data into actionable insights in the past. Prepare a couple of scenarios where you successfully communicated findings to non-technical audiences, highlighting your ability to challenge assumptions with data.
✨Understand the Business Context
Research the company and its position in the education sector. Understand their commercial focus and how data-driven decision-making plays a role in their growth. This knowledge will help you tailor your responses and show that you're genuinely interested in contributing to their data journey.