Revenue Operations Analytics Engineer Momence

Xplor • Denver, CO

1d • Remote

About The Position

Momence, part of Xplor Technologies, is seeking a Revenue Operations Analytics Engineer to manage and scale their revenue data stack. This role is crucial for building a modern, scalable data platform and transforming data into actionable insights to drive revenue growth. The position involves close collaboration with Sales, Marketing, and RevOps teams, operating at the intersection of data engineering, analytics, and go-to-market strategy.

Requirements

• 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 Haves

• 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

Responsibilities

• Build and maintain data pipelines from APIs, third-party tools, and other sources.
• Manage and optimize the 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.
• 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.
• 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.
• Build predictive models such as churn risk or conversion likelihood.
• Translate insights into actionable workflows for Sales and RevOps.

Benefits

• Paid Parental Leave
• #GiveBackDays/Commitment to social impact – 3 extra days off to volunteer and give back to your local community
• Ongoing dedication to Diversity & Inclusion initiatives such as D&I Council, Global Mentorship Program
• Access to free mental health support
• Flexible working arrangements

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed