Analytics Engineer

• Build and maintain reliable data pipelines and models across Salesforce, transaction, product, onboarding, renewal, pricing and support data
• Develop and maintain a governed Client 360 view connecting accounts, locations, products, commercial terms, adoption and revenue performance
• Define and document trusted metrics for GRR, NRR, churn, client health, time-to-value and renewal risk
• Develop automated client health scoring and renewal-risk triggers across the customer portfolio
• Surface clear, actionable client insights in Salesforce for Customer Success and Account Management teams
• Prepare governed, high-quality datasets to support AI and agentic workflows
• Establish and own DataCandy’s customer data foundation
• Centralize product, client, commercial and lifecycle data in Databricks
• Develop consistent business metrics and surface insights that help teams identify opportunities, risks and priorities
• Design scalable solutions, automate manual processes and create data products supporting business decision-making

Explore Analytics Engineer at Paystone. Review requirements and application details.