Revenue Operations Analytics Engineer

About the opportunity

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

This is a full-time, fully remote, employed position, for which we’re considering candidates residing in US.

Working arrangements

Fully Remote:

You can work fully remote within US in this position, provided you have eligible working rights.

Qualifications

What you should have:

While we welcome experience from a range of backgrounds, the ideal candidate for this role will be able to speak to and/or demonstrate the following:

• 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

What’ll really impress us

We expect many candidates will bring strong relevant experience. These are the additional qualities that will help someone stand out:

• 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

About the interview process For this role, we have an interview process that allows both us and you to assess the mutual fit for the role. After applying, your resume will be reviewed by a real live human (👋).

If selected for screening, you’ll have a brief call with a member of our People team, followed by conversations with key stakeholders across the business, including Mike Fontanella, our Director of RevOps, and hiring manager for this role, and members of Momence’s RevOps team.

At Momence, we believe that the best innovation and ideas happen at the intersections of our differences - people of diverse cultures, generations, disciplines, and lived experiences. So even if you think you do not tick all the boxes, we still encourage you to apply.