Senior Revenue Data Analyst, BI & BigQuery Lead

Kpler; Greater London; Hybrid; GBP 75,000 - 110,000; Full time

Job summary

Kpler is seeking a Senior Data Analyst to join its Business Intelligence team. You will own the revenue analytics pillar, building data models and reporting for ARR, retention, pipeline, churn, and renewals.

You will model data from Salesforce and subscription billing, transform it in BigQuery, and serve it through Looker and AI-assisted tools. This role sits between data engineering and commercial analytics, offering ownership of analytics end-to-end, collaboration with Sales, RevOps, IT,

Qualifications

• 5+ years of analytics, BI, data analysis, or related data role.
• At least 2 years owning a data domain end-to-end.
• Strong SQL skills and hands-on BigQuery experience.
• Production experience with Looker and LookML, building data models, Explores, and dashboards.
• Experience with CRM data such as Salesforce or subscription billing data.
• Experience with revenue metrics like ARR, NRR, GRR, churn, pipeline, renewals.

Responsibilities

• Own and maintain governed revenue datasets in BigQuery for ARR, GRR, NRR, pipeline, churn, and renewals.
• Model data from Salesforce and billing systems into clean reporting tables with clear grain and deduplication rules.
• Build and maintain LookML models, Explores, and dashboards for revenue reporting.
• Deliver analytics end to end from stakeholder requirements to dashboard delivery and documentation.
• Contribute to AI revenue analytics tools with governed data and documentation.

Skills

SQL

BigQuery

Data modelling

LookML

Looker dashboards

Git workflows

SaaS analytics

Communication

English

Tools

Salesforce

Stripe

dbt

Git

Looker

Job description

Kpler is seeking a Senior Data Analyst to join its Business Intelligence team. You will own the revenue analytics pillar, building data models and reporting for ARR, retention, pipeline, churn, and renewals.

You will model data from Salesforce and subscription billing, transform it in BigQuery, and serve it through Looker and AI-assisted tools. This role sits between data engineering and commercial analytics, offering ownership of analytics end-to-end, collaboration with Sales, RevOps, IT,