Data Analyst

We're looking for a Data Analyst - Operational Intelligence to partner with our Sales, Revenue Operations, Product and Data Engineering teams. This role will focus on GTM/Sales Analytics and Product-Led Growth (PLG), helping teams turn product usage and revenue data into actionable business insights. You'll work closely with stakeholders to build trusted reporting, develop Snowflake data models, contribute to dbt, and surface product and customer signals that support sales conversion, expansion and growth.

Responsibilities:

• Build and maintain dashboards and reports for Sales and PLG KPIs such as trial conversion, product adoption, feature activation, PQLs and revenue performance.
• Partner with Sales and Revenue Operations to translate business questions into actionable analytics.
• Develop and maintain data models in Snowflake for Sales, GTM and PLG analytics.
• Contribute to dbt models, tests and documentation through pull requests.
• Work with Data Engineering on data modelling, data quality and pipeline dependencies.
• Define and standardise key GTM metrics including: Free trial signups, Time-to-activate, Product Qualified Leads (PQLs), Trial conversion, Product adoption, Expansion signals.
• Analyse product usage and PLG trends to identify opportunities for Sales and Revenue teams.
• Support recurring GTM business reviews, reporting cadences and operational processes.
• Build reusable datasets and documentation to enable self-service analytics.
• Ensure consistency and accuracy across Sales and Product analytics.

Requirements:

• 3-7 years of experience in Data Analytics, BI, Sales Analytics, GTM Analytics or Revenue Analytics.
• Strong SQL skills with hands-on experience in data analysis and data modelling.
• Experience working with Snowflake or other cloud data warehouses.
• Hands-on experience with dbt, including models, tests and documentation.
• Experience supporting Sales, Revenue Operations, GTM or commercial teams, preferably within a SaaS/product company.
• Understanding of PLG, product usage analytics and SaaS/GTM metrics.
• Ability to translate business requirements into reliable datasets, reports and dashboards.
• Strong stakeholder management and communication skills.
• Comfortable working with cross-functional teams including Data Engineering, Sales, Product and RevOps.

Good to Have:

• Power BI, Tableau, Looker or similar BI tools.
• Salesforce / CRM analytics experience.
• Experience with Amplitude, Mixpanel, Pendo or other product analytics platforms.
• Revenue analytics / SaaS metrics experience.
• Exposure to data governance and data quality.
• Experience in a product-led or hybrid Sales + PLG SaaS environment.