Senior Data Analyst – Revenue Intelligence

About This Opportunity

We are representing a confidential SaaS organization in their search for a Senior Data Analyst to own revenue intelligence. This is a unique opportunity to sit at the intersection of data engineering and commercial analytics, building the data models and reporting that drive business decisions around ARR, retention, pipeline, churn, and renewals.

You'll work with CRM and subscription billing data, model it in BigQuery, and serve it through Looker and AI-assisted tools. One week you might be fixing a revenue pipeline or investigating a data quality issue; the next, you'll be explaining retention trends to Finance or helping Sales understand their numbers. This role gives you the chance to own the datasets that commercial and finance teams rely on daily.

Responsibilities

• Own and maintain governed revenue datasets in BigQuery, powering ARR, GRR, NRR, pipeline, churn, and renewal reporting across Sales, Customer Success, RevOps, and Finance
• Model data from Salesforce and subscription billing systems into clean, documented reporting tables with clear data grain, deduplication rules, and metric definitions
• Build and maintain LookML models, Explores, and dashboards used for revenue reporting, ensuring consistent naming, definitions, documentation, and data quality standards
• Own analytics delivery end to end, from understanding stakeholder requirements and modelling data through to dashboard development, testing, and documentation
• Contribute to internal AI revenue analytics tools by curating governed datasets, maintaining reference documentation, and testing outputs against trusted source data
• Build monitoring and data quality checks to identify issues such as duplicates, mixed-grain fan-out, missing filters, and reconciliation gaps before they impact stakeholders
• Investigate and resolve revenue data escalations, addressing root causes and improving underlying data processes to prevent recurring issues
• Apply software engineering practices to the BI codebase, including version control, peer review, testing, and documentation
• Work directly with Sales, Customer Success, RevOps, SalesOps, IT, Product, and Finance to turn business questions into clearly defined metrics and analytical deliverables
• Explain revenue metrics and analytical outputs clearly to non-technical stakeholders, helping teams understand and self-serve their data
• Use AI tools to accelerate query writing, documentation, analysis, and quality checks

What We're Looking For

Essential:

• 5+ years of experience in analytics, Business Intelligence, data analysis, or a related data role, with at least 2 years owning a data domain end to end
• Strong experience with SQL and hands-on experience with BigQuery or an equivalent cloud data warehouse
• Strong understanding of data modelling concepts, including data grain, dimensional modelling, 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 such as Salesforce and/or subscription billing data such as Stripe or similar platforms
• Experience working with revenue metrics such as ARR, NRR, GRR, churn, pipeline, and renewals
• Comfortable working with Git workflows and treating BI code and data models as production software
• Strong communication skills, with the ability to explain technical concepts and data clearly 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 a data environment
• Experience working in an async and remote environment across multiple time zones

How We Work With You

Candidates apply directly through Get A Job.ai. Our talent team will screen your application and conduct an initial interview to understand your background and career goals. If there's a strong match, we'll submit your profile to our client for consideration. Please do not contact the client directly—all communication should go through Get A Job.ai to ensure a smooth process for everyone involved.

Pay

Compensation details will be discussed during the screening process and are competitive for the London market and this level of seniority.

Equal Opportunity: Get A Job.ai is committed to providing a fair, inclusive and diverse recruitment process. We welcome candidates of different backgrounds, experiences, abilities and perspectives. If you don't meet every single requirement listed, we still encourage you to apply—experience comes in many forms, and we're dedicated to finding the right perspectives for our client's team.