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Revenue Operations Analytics Engineer MomenceXplor Education • Denver, Colorado, United States
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Revenue Operations Analytics Engineer Momence

Xplor Education
  • US
    Denver, Colorado, United States
  • US
    Denver, Colorado, United States
Postuler Maintenant

À propos

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
[email protected] . We make it a priority to respond to every applicant.
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  • Denver, Colorado, United States

Compétences linguistiques

  • English
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