At a Glance
- Tasks: Join a dynamic team to build data models and deliver impactful insights.
- Company: Fast-growing online marketplace connecting students with tutors across the UK.
- Benefits: Competitive salary, fully remote work, and opportunities for professional growth.
- Other info: Collaborate in a fast-paced environment with excellent career advancement potential.
- Why this job: Shape data-driven decisions in a pivotal role at an innovative company.
- Qualifications: Strong SQL skills and experience with BI tools like Tableau or Power BI.
The predicted salary is between 45000 - 55000 € per year.
This fast-growing online marketplace is connecting students with tutors through personalised learning support across the UK; with a team of around 40 people and a growing focus on data-led decision making, they are investing heavily in their analytics capability – this is a great opportunity to join at a pivotal stage and help shape how data is used across the business!
As the BI Analyst within the Commercial Insights team, you will report into the Head of Commercial Insights and play a key role in building the reporting and analytics foundations for the business. You will work across a broad range of commercial problems, helping stakeholders define KPIs, improving reporting processes, and delivering insights that influence strategic decisions.
You can expect to:
- Build and maintain data models, including star schemas
- Develop dashboards and reporting using Tableau and Omni Analytics
- Translate business questions into actionable insights
- Define KPIs and reporting frameworks with stakeholders
- Conduct exploratory analysis to identify trends and opportunities
- Improve and scale existing reporting processes currently managed through Google Sheets
- Work closely with a Data Engineer across GCP and dbt environments
- Support the move towards a more self-serve analytics function
YOUR SKILLS AND EXPERIENCE
- Strong SQL and data modelling experience
- Experience with BI tools such as Tableau, Power BI, or Looker
- Exposure to cloud data environments such as GCP and dbt
- Strong stakeholder management and communication skills
- The ability to work autonomously in a fast-paced environment
- Any experience in a two-sided marketplace environment, customer retention, churn, LTV, or cohort analysis would be highly beneficial.
THE BENEFITS £45,000-£55,000
HOW TO APPLY Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.
BI Analyst in Stoke-on-Trent employer: Harnham
Join a dynamic and innovative online marketplace that prioritises data-driven decision making and offers a fully remote working environment across the UK. With a close-knit team of around 40, you will have the opportunity to significantly impact the company's analytics capabilities while enjoying a supportive work culture that fosters professional growth and development. The company values its employees by providing competitive salaries and the chance to shape the future of personalised learning support.
StudySmarter Expert Advice🤫
We think this is how you could land BI Analyst in Stoke-on-Trent
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your SQL and data modelling expertise. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common BI Analyst questions. Think about how you would tackle real-world problems and be ready to discuss your thought process. We want to see how you think!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team and contributing to our data-led journey.
We think you need these skills to ace BI Analyst in Stoke-on-Trent
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 like Tableau, and any relevant projects that showcase your data modelling expertise. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data-led decision making and how your background aligns with our mission at StudySmarter. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills:In your application, don’t just list your skills; demonstrate them! Include examples of how you've translated business questions into actionable insights or improved reporting processes. We’re keen to see your analytical mindset in action!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy – just follow the link!
How to prepare for a job interview at Harnham
✨Know Your Data Tools
Make sure you brush up on your SQL and BI tools like Tableau or Power BI before the interview. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of data modelling.
✨Understand the Business Context
Familiarise yourself with the company’s mission and how they use data to drive decisions. Think about how you can contribute to their analytics capability and be prepared to share insights on how you would approach defining KPIs and improving reporting processes.
✨Prepare for Scenario Questions
Expect questions that ask you to solve real-world problems or analyse data scenarios. Practice articulating your thought process clearly, as this will demonstrate your analytical skills and ability to translate business questions into actionable insights.
✨Showcase Your Stakeholder Management Skills
Since the role involves working closely with stakeholders, be ready to discuss your experience in managing relationships and communicating complex data findings. Share examples of how you've successfully collaborated with others to achieve common goals.
