Data Analyst - Remote-Ready, Own Revenue & BI

Carbon Data Solutions

Greater London

Hybrid

GBP 45,000 - 65,000

Full time

4 days ago
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Benefits offered by this job

Competitive salary
Private Medical Insurance
25 days holiday
Enhanced Pension Scheme
Flexible working (remote or hybrid)

Job summary

NexGen Cloud is seeking a Data Analyst to join a fast-growing AI infrastructure company. You will build data pipelines, own revenue reporting, and ensure data accuracy across billing and usage for leadership decision-making.

You will work with SQL, Power BI, and CRM tools, gaining commercial insight into the AI compute market while enabling cross-functional teams to rely on trusted figures.

Qualifications

  • Hands-on experience as a Data Analyst or in a similar role with data extraction or automation projects.
  • Strong SQL and Excel skills.
  • Solid Power BI experience including reconciling figures from different sources.
  • Hands-on use of a CRM (HubSpot or similar).
  • Root-cause mindset with proposed solutions.

Responsibilities

  • Build and maintain pipelines bringing data into Databricks and Power BI, automating steps.
  • Own daily revenue and occupancy reporting used by leadership.
  • Verify billing against usage across power draw, utilisation, asset registers and credits.
  • Support commission calculations and provide pipeline health insights.
  • Model pricing options and deal economics for investment decisions.
  • Validate every figure before it reaches leadership or others.
  • Help the wider team work confidently with BI tools and data.

Skills

SQL
Excel
Power BI
HubSpot CRM
Data extraction
Automation
Root-cause analysis

Tools

Databricks

Job description

NexGen Cloud is seeking a Data Analyst to join a fast-growing AI infrastructure company. You will build data pipelines, own revenue reporting, and ensure data accuracy across billing and usage for leadership decision-making.

You will work with SQL, Power BI, and CRM tools, gaining commercial insight into the AI compute market while enabling cross-functional teams to rely on trusted figures.

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