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Gleeson Recruitment Group

Data & Analytics Lead

London
£80k – £100k/yr
Posted 1 day ago
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Data & Analytics Lead - Fabric / Azure

£80K - £100K

Fully remote - Some London office trips

We're working with a leading organisation going through a major data transformation, including a move from Azure SQL to Microsoft Fabric.

They're looking for a Data & Analytics Lead to take ownership of their regional data products, semantic models and business logic. This is a high-impact leadership role, acting as the right hand to the Director and the key link between Data, BI and the wider business.

The role

You'll be responsible for:

  • Designing reusable data products, dimensional and semantic models
  • Setting standards around business logic, KPIs, DAX, Power BI and data quality
  • Translating complex business requirements into scalable data solutions
  • Working closely with the Lead Data Engineer across the Microsoft Fabric environment
  • Reviewing models and logic produced by the BI team
  • Coaching technical teams and influencing senior business stakeholders
  • Shaping the data roadmap, governance and operating model
  • Exploring new Fabric, Power BI and AI capabilities

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

What we're looking for

  • 7+ years' experience across Data Engineering, BI, Analytics Engineering or Data Modelling
  • Advanced SQL
  • Strong expertise in Power BI, DAX and Power Query
  • Expert dimensional & semantic modelling
  • Strong knowledge of Microsoft Fabric - Warehouse, Lakehouse, OneLake & Direct Lake
  • Experience owning enterprise/cross-business-unit data models
  • Strong stakeholder management and leadership skills

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This is a great opportunity for a senior Data/BI professional ready to step into a second-in-command position, combining technical leadership with genuine influence across the business.

GleeIT

At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer.

By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data.

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Skills

Data Engineering
Business Intelligence
Analytics Engineering
Data Modelling
SQL
Power BI
DAX
Power Query
Dimensional Modelling
Semantic Modelling
Microsoft Fabric
Stakeholder Management
Leadership
Data Governance
Data Quality
AI Capabilities

Location

London, England, United Kingdom

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