Data Analyst (BI/Commercial/Product)

Data Analyst (BI/Commercial/Product)

Full-Time 50000 - 55000 £ / year (est.) Home office (partial)
Harnham - Data & Analytics Recruitment

At a Glance

  • Tasks: Shape analytics by building data models and developing insightful dashboards.
  • Company: Fast-scaling marketplace in the education sector with a small, dynamic team.
  • Benefits: Up to £55,000 salary, remote work, and travel expenses covered for team days.
  • Other info: Join a collaborative environment with significant growth opportunities.
  • Why this job: Make a real impact in a data-hungry organisation and define analytics excellence.
  • Qualifications: Experience in SQL modelling, BI development, and stakeholder engagement.

The predicted salary is between 50000 - 55000 £ per year.

Up to £55,000 UK - Remote (Sheffield team day every 1-2 months, travel paid)

Reports to: Head of Commercial Insights

This is a brilliant opportunity to join a fast-scaling marketplace in the education sector. With a brand-new Head of Commercial Insights in place, the business is rebuilding its entire data stack - from pipelines to dashboards to the semantic layer - and this hire will play a critical role in shaping how analytics operates moving forward.

If you enjoy a mix of BI development, data modelling, product analysis, and commercial partnering, this role gives you autonomy, impact, and the chance to help define what "good" looks like inside a data-hungry organisation.

Where you fit

You’ll be the go-to analyst for building the foundations of reporting and insight. Expect a blend of hands-on SQL modelling, BI development, stakeholder discovery, and behavioural analysis. The company is small (under 100 people), the appetite for data is huge, and you’ll sit at the centre of decision-making across product, commercial, and operations.

What you’ll be doing

  • Core analytics + modelling
  • Build data models (SQL, star schemas, semantic-layer-ready tables).
  • Work with GCP + dbt pipelines (with support from a dedicated data engineer).
  • Turn messy spreadsheets into clean, reliable, automated reporting.

BI development

Build dashboards...

Data Analyst (BI/Commercial/Product) employer: Harnham - Data & Analytics Recruitment

Join a dynamic and innovative team in the education sector, where your contributions as a Data Analyst will directly influence decision-making and shape the future of analytics. With a strong focus on employee growth, a collaborative work culture, and the flexibility of remote work complemented by regular team days in Sheffield, this company offers a unique opportunity to thrive in a data-driven environment. Enjoy competitive benefits and the chance to work alongside passionate professionals in a fast-scaling marketplace that values your insights and expertise.
Harnham - Data & Analytics Recruitment

Contact Detail:

Harnham - Data & Analytics Recruitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst (BI/Commercial/Product)

✨Tip Number 1

Network like a pro! Reach out to current employees on LinkedIn or join relevant groups. A friendly chat can give you insider info and maybe even a referral!

✨Tip Number 2

Prepare for the interview by brushing up on your SQL and BI skills. We recommend doing some mock interviews with friends or using online platforms to get comfortable with common questions.

✨Tip Number 3

Showcase your projects! Bring along examples of your work, especially any data models or dashboards you've built. This will help us see your hands-on experience and how you approach problem-solving.

✨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 genuinely interested in joining our team!

We think you need these skills to ace Data Analyst (BI/Commercial/Product)

SQL
Data Modelling
BI Development
GCP
dbt
Reporting Automation
Stakeholder Discovery
Behavioural Analysis
Data Pipelines
Dashboard Creation
Analytical Skills
Commercial Insights
Problem-Solving Skills
Collaboration Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Analyst role. Highlight your experience in BI development, data modelling, and any relevant tools like SQL or GCP to show us you’re the perfect fit!

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this opportunity. Share specific examples of how you've tackled similar challenges in the past and how you can contribute to our data-hungry organisation.

Showcase Your Analytical Skills: In your application, don’t shy away from demonstrating your analytical prowess. Include any projects or experiences where you’ve built data models or developed dashboards, as this will give us insight into your capabilities.

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 don’t miss out on any important updates during the process!

How to prepare for a job interview at Harnham - Data & Analytics Recruitment

✨Know Your Data Tools

Familiarise yourself with SQL, GCP, and dbt before the interview. Be ready to discuss how you've used these tools in past projects, as this role heavily relies on them for data modelling and reporting.

✨Showcase Your Analytical Mindset

Prepare examples of how you've turned messy data into actionable insights. Highlight your experience with BI development and stakeholder engagement to demonstrate your ability to influence decision-making.

✨Understand the Business Context

Research the education sector and the company's position within it. Being able to discuss industry trends and how they relate to data analytics will show that you're not just a techie but also a strategic thinker.

✨Ask Insightful Questions

Prepare thoughtful questions about the company's data stack and future analytics goals. This shows your genuine interest in the role and helps you assess if the company aligns with your career aspirations.

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