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Kpler is seeking a Senior Data Analyst to own and maintain revenue intelligence datasets that power critical business metrics across Sales, Customer Success, RevOps, and Finance. You will be responsible for the full lifecycle of revenue analytics delivery—from understanding stakeholder requirements and modeling data from Salesforce and subscription billing systems, through to building LookML models, Explores, and dashboards in Looker.
Key responsibilities include:
- Owning governed revenue datasets in BigQuery, supporting ARR, GRR, NRR, pipeline, churn, and renewal reporting
- Modeling data from Salesforce and subscription billing systems into clean, documented reporting tables with clear data grain, deduplication rules, and metric definitions
- Building and maintaining LookML models and dashboards with consistent naming, definitions, and documentation
- Delivering analytics end-to-end, from requirements gathering through testing and documentation
- Contributing to Kpler's internal AI revenue analytics tools by curating datasets and maintaining reference documentation
- Building monitoring and data quality checks to identify duplicates, mixed-grain fan-out, missing filters, and reconciliation gaps
- Investigating and resolving revenue data escalations and improving underlying data processes
- Applying software engineering practices to BI codebase, including version control, peer review, and testing
- Collaborating with Sales, Customer Success, RevOps, SalesOps, IT, Product, and Finance to translate business questions into metrics and analytical deliverables
- Explaining revenue metrics and outputs clearly to non-technical stakeholders
- Using AI tools to accelerate query writing, documentation, and quality checks
Kpler is a global analytics and intelligence platform founded in 2014, with over 850 experts across 69 countries. The company simplifies global trade information in commodities, energy, and maritime sectors, helping clients make informed decisions through user-friendly platforms and actionable insights.
REQUIREMENTS:
Essential:
- 5+ years of experience in analytics, Business Intelligence, data analysis, or related data role, with at least 2 years owning a data domain end-to-end
- Strong SQL skills and hands-on experience with BigQuery or equivalent cloud data warehouse
- Strong understanding of data modeling concepts including data grain, dimensional modeling, deduplication, and slowly changing dimensions
- Production experience with Looker and LookML, including building and maintaining data models, Explores, and dashboards
- Experience working with B2B SaaS data, ideally including CRM data (Salesforce) and/or subscription billing data (Stripe or similar)
- Experience working with revenue metrics such as ARR, NRR, GRR, churn, pipeline, and renewals
- Comfortable with Git workflows and treating BI code and data models as production software
- Strong communication skills with ability to explain technical concepts to non-technical stakeholders
- Professional-level English, written and spoken
Desirable:
- Experience with Python for data wrangling or automation
- Experience with dbt or similar data transformation tools
- Experience working with AI-assisted analytics or AI tools in data environments
- Experience working in async and remote environments across multiple time zones
