Revenue Data Analyst — BI, Pipelines, Insights (Remote)

Greenhouse Software, Inc.; Greater London; Hybrid; GBP 42,000 - 62,000; Full time

Benefits offered by this job

Flexible working arrangements

Ownership and autonomy

Career progression

Collaborative culture

Job summary

NexGen Cloud in the UK is seeking a Data Analyst to help move the business toward a data-driven approach. You’ll work with revenue, occupancy, billing and pipeline data across warehouses, CRMs and APIs to deliver one trusted set of figures daily.

You’ll build pipelines into Databricks and Power BI, own the daily revenue reporting, validate figures before leadership, and help the wider team work confidently with BI tools as we scale.

Qualifications

• Hands-on data analyst experience including extraction, integration, or automation.
• Strong SQL and Excel skills.
• Solid Power BI experience, reconciling figures from different sources.
• CRM experience (HubSpot or similar) and use of AI tools to speed up analysis.

Responsibilities

• Build and maintain pipelines bringing data into Databricks and Power BI.
• Own daily revenue and occupancy reporting for leadership.
• Verify billing matches customer usage across power draw, utilization, asset registers and credits.
• Support commission calculations and provide insights on pipeline health, conversion and churn.
• Model pricing options and deal economics for data-driven decisions.
• Validate every figure before it reaches leadership or external audiences.
• Help the wider team work confidently with BI tools and data.

Skills

SQL

Excel

Power BI

CRM (HubSpot)

Tools

Databricks

Job description

NexGen Cloud in the UK is seeking a Data Analyst to help move the business toward a data-driven approach. You’ll work with revenue, occupancy, billing and pipeline data across warehouses, CRMs and APIs to deliver one trusted set of figures daily.

You’ll build pipelines into Databricks and Power BI, own the daily revenue reporting, validate figures before leadership, and help the wider team work confidently with BI tools as we scale.