Data Analyst (BI/Commercial/Product)

Up to £55,000UK - 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.

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.

• 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.

• Build dashboards in Omni.
• Define the KPIs that matter, not just what stakeholders ask for.

• Analyse behaviour across a two-sided marketplace.
• Look at retention, lifetime value, drop-off patterns, and behavioural red flags.
• Do exploratory ad-hoc analysis to uncover trends and opportunities.

• Work directly with the Head of Commercial Insights and senior leaders.
• Gather requirements, challenge assumptions, and translate business questions into data logic.
• Balance building, analysis, and advising the business (roughly 2/3 build, 1/3 insight).

Must-haves

• 3-5 years' experience across BI / product analytics / commercial analytics.
• Strong SQL (modelling, joins, transformations).
• Experience with 2+ BI tools (Tableau, Looker, Power BI, etc.).
• Understanding of data modelling (star schemas, semantic layers).
• Strong communication skills and ability to bridge business data.
• Adaptable mindset - someone who can pick things up fast and challenge product/commercial thinking.

Nice-to-haves

• Experience in marketplaces, EdTech, consumer apps, or retention-focused products.
• Familiarity with GCP/dbt pipelines.
• Behavioural / lifecycle analytics experience.

• Shape the data foundations of a scaling company.
• Huge variety: modelling, dashboarding, product analytics, commercial insight.
• Modern BI stack (Omni)
• Fully remote with occasional team days in Sheffield (all paid).
• Real ownership in a business that genuinely wants data.