Revenue Operations Analytics Engineer (Momence)

Revenue Operations Analytics Engineer Momence Full-time Department: Implementation Value Add Division: Fitness and Wellbeing Compensation: USD 125,000 - USD 150,000 yearly Momence under Xplor Technologies powers the experiences at the heart of everyday life. Through modern vertical software, embedded payments, and AI-powered capabilities, we help businesses in fitness, recreation, golf and club, field services, laundry, education, and other membership‑based and service‑based industries simplify operations, uncover insights, and elevate customer and member experiences. 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 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 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 Essential qualifications Strong SQL skills, ideally with dbt Python for data processing and automation A solid grasp of data warehousing, ideally Snowflake Good knowledge of PostgreSQL Confidence working with BI tools, ideally Looker Familiarity with CRM, funnel, pipeline, and revenue data Ability to build clean, analytics‑ready datasets Nice to have Experience with web scraping or non‑traditional data ingestion Exposure to predictive modeling or applied ML Experience supporting Sales / Marketing / RevOps teams AWS or cloud data infrastructure experience Benefits Paid Parental Leave benefit programs 3 extra days off to volunteer and give back to your local community Diverse & Inclusion initiatives, such as D&I Council & Global Mentorship Program Access to free mental health support Flexible working arrangements Equal Employment Opportunity Xplor is proud to be an Equal Employment Opportunity employer. We’re dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability, veteran status, and age. All application information will be kept confidential in accordance with EEO guidelines. Xplor is committed to the full inclusion of all qualified individuals. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact us via View email address on click.appcast.io. To be considered for employment, you must be legally authorized to work in the country you are applying for. Xplor does not sponsor visas, at the time of hire or at any later time. #J-18808-Ljbffr