Revenue Operations Analytics Engineer Momence

Xplor • Denver, CO

1d • Remote

About The Position

Momence, under Xplor Technologies, is seeking a Revenue Operations Analytics Engineer to own and scale their 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. The successful candidate will play a key role in building a modern, scalable data platform and transforming data into actionable insights that directly impact revenue growth.

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
• Legally authorized to work in the country you're applying for

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 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 benefit programs
• #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