Xplor is hiring a Revenue Operations Analytics Engineer Momence

At Momence we’re looking for a Revenue Operations Analytics Engineer to own and scale our end-to-end revenue data stack. This is a high-impact role at the intersection of data engineering, analytics, and go-to-market strategy, working closely with Sales, Marketing, and RevOps teams. You’ll play a key role in building a modern, scalable data platform and turning data into actionable insights that directly impact revenue growth. Core responsibilities Data infrastructure & pipelines Build and maintain data pipelines from APIs, third-party tools, and other sources Manage and optimize our data warehouse (Snowflake) and existing PostgreSQL systems Lead the migration from PostgreSQL to Snowflake, including schema design and data validation Ensure data quality, reliability, and scalability across revenue systems Data modeling & transformation Design and maintain dbt models that power core revenue metrics Create clean, reusable datasets for reporting and analytics Define and improve data modeling standards and best practices Analytics & insights Build and maintain dashboards (Looker) for Sales, Marketing, and leadership Define and track key funnel and revenue metrics (pipeline, conversion, retention) Deliver ad hoc analysis to support go-to-market decisions RevOps systems & automation Build systems for lead enrichment, routing, and management Develop and iterate on lead scoring models Integrate data across CRM, marketing tools, and internal systems Use Python and SQL to automate and streamline processes Predictive analytics Build predictive models such as churn risk or conversion likelihood Translate insights into actionable workflows for Sales and RevOps