Revenue Operations Analytics Engineer Momence

Job Description

Job Description

Company Description

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. 

Job Description

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

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

Additional Information

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.

Salary range for this role is between 125 000 USD to 145 000 USD pa.

Values and Life at Xplor

Our five core values guide us from how we hire and recognise our team members to how we interact with our customers day to day:

• Find a better way
• Do the right thing
• Say it straight
• Win together
• Own the outcome

If these values sound like you, and describe people you want to work with, you will thrive at Xplor.

As an Xplorer, you will be part of a global network of talented colleagues who will support your success. We look for commonalities and shared passions and give people the tools they need to deliver great work and grow at speed.

Some of our perks and benefits are:

• 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

Ready to apply?

To start your application, please submit your resume, and we will be in touch as soon as we can. Please include the word "moonshot" at the top of your message to the Hiring Manager so that we know you took the time to read our job ad.

More about us  

More than 130,000 businesses in 72+ countries rely on Xplor to run their day and get paid, processing over $47 billion in payments annually. Our connected ecosystem helps operators spend less time managing complexity and more time delivering the experiences that matter most. 

Xplor is backed by world-class investors Advent International, Battery Ventures, and Silver Lake. 

Good to know

To be considered for employment, you must be legally authorized to work in the country you're applying for. Xplor does not sponsor visas, either at the time of hire or at any later time. 

We kindly ask you to apply through our careers portal or external job boards only. Please don't send your application via email.

To learn more about us and our products, please visit  xplor.com/careers/.  

We also invite you to check out our Candidate FAQs for more information about our recruitment process xplor.com/recruitment -faqs/.

EEO and Artificial Intelligence

We believe in transparent hiring. We use an applicant tracking system that includes artificial intelligence-enabled features to assist with the screening and assessment of job applications, such as candidate scoring or ranking. These tools support our recruitment process, but all hiring decisions are made by our recruitment team following human review. We do not rely on artificial intelligence to make final hiring decisions. Find our Candidate AI Usage guidelines here.

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. Applications are encouraged from all sectors of the community. All Information will be kept confidential according to EEO guidelines. 

Xplor is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Xplor will take steps to ensure that people with disabilities are provided reasonable accommodations. 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 ziprecruiter.com.  

We make it a priority to respond to every applicant.