Senior Data Analyst – Revenue Intelligence

Kpler
London
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceExperience: 5+ yearsSkills: ["Communication","Stakeholder management","Problem-solving"]

Own the revenue intelligence pillar by building and maintaining governed revenue datasets and reporting across ARR, retention, pipeline, churn, and renewals. Model Salesforce and subscription billing data into clean BigQuery tables, then serve it via Looker/LookML and AI-assisted analytics tools. Deliver analytics end to end, implement data quality monitoring, investigate revenue data escalations, and apply software engineering practices to BI code and models while partnering with Sales, Customer Success, RevOps, IT, Product, and Finance.

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Kpler
Kpler
1 day ago

Senior Data Analyst – Revenue Intelligence

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Last checked: 14 hours agoStatus: Live

Job Summary

Own the revenue intelligence pillar by building and maintaining governed revenue datasets and reporting across ARR, retention, pipeline, churn, and renewals. Model Salesforce and subscription billing data into clean BigQuery tables, then serve it via Looker/LookML and AI-assisted analytics tools. Deliver analytics end to end, implement data quality monitoring, investigate revenue data escalations, and apply software engineering practices to BI code and models while partnering with Sales, Customer Success, RevOps, IT, Product, and Finance.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Own and maintain governed revenue datasets in BigQuery powering ARR, GRR, NRR, pipeline, churn, and renewal reporting.
  • •Model data from Salesforce and subscription billing systems into clean, documented reporting tables with defined grain, deduplication rules, and metrics.
  • •Build and maintain LookML models, Explores, and dashboards for consistent revenue reporting definitions and data quality standards.
  • •Deliver analytics end to end—from stakeholder requirements and data modeling through dashboard development, testing, and documentation.
  • •Implement monitoring and data quality checks, investigate revenue data escalations, and apply software engineering practices (version control, peer review, testing, documentation) to the BI codebase.

Key Requirements

  • •5+ years’ experience in analytics, Business Intelligence, data analysis, or a related role, including at least 2 years owning a data domain end to end.
  • •Strong SQL experience plus hands-on BigQuery (or an equivalent cloud data warehouse).
  • •Strong data modeling fundamentals (data grain, dimensional modeling, deduplication, slowly changing dimensions).
  • •Production experience with Looker and LookML, including building and maintaining models, Explores, and dashboards.
  • •Experience with B2B SaaS data and revenue metrics (ARR, NRR, GRR, churn, pipeline, renewals) using sources such as Salesforce and/or subscription billing platforms.
Experience:5+ yearsB2B SaaSCRM dataSubscription billingRevenue analytics
Skills:CommunicationStakeholder managementProblem-solving
Languages:English
Tech Stack:SQLBigQueryLookerLookMLSalesforceSubscription billingStripeGitPythonDbtAI-assisted analytics

Company Brief

Kpler
Provides real-time commodity, shipping and trade intelligence combining satellite, AIS, customs and market data to deliver analytics for energy, dry bulk, petrochemicals, metals and agricultural markets, enabling trading, risk management and market transparency.
Industry: Data Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Paris, France
Founded: 2014
WebsiteLinkedIn