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Revenue Operations Analytics Engineer Momence

Xplor · Denver, CO, United States · Remote · Deleted · $125,000–$150,000 / year · SmartRecruiters

Job facts

FieldValue
CompanyXplor
TitleRevenue Operations Analytics Engineer Momence
Normalized title-
Department / teamImplementation Value Add
LocationDenver, CO, United States
Work modelRemote / Remote
Employment typeFull Time
Salary$125,000–$150,000 / year
Statusdeleted
ATS providerSmartRecruiters
Posted / first seen2026-05-13 / 2026-05-31
Changed / last seen2026-06-17 / 2026-06-15

Related slices

PageWhat it containsOpen
Company jobsActive postings from Xplor.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through SmartRecruiters.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Denver.Open
Department jobsActive postings in Implementation Value Add.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyXplor
Sourcefce1fffc-953b-40ef-bdd4-b2e284d69cbd
ATS providerSmartRecruiters

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. 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 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. 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.

Full job record

Job ID45654f78d8e5ac0a0986e20b3dcde32e31923c3c
Org ID02c9d88d-b3b7-4a43-901e-feb1538d1fca
Source IDfce1fffc-953b-40ef-bdd4-b2e284d69cbd
Board IDfce1fffc-953b-40ef-bdd4-b2e284d69cbd
Providersmartrecruiters
Provider Job Key744000126296829
TitleRevenue Operations Analytics Engineer Momence
Normalized Title
Statusdeleted
Activeno
Location TextDenver, CO, United States
DepartmentImplementation Value Add
Team
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionCO
CityDenver
Salary RawUSD 125000-150000 year
Salary Min125,000
Salary Max150,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.smartrecruiters.com/Xplor/744000126296829-revenue-operations-analytics-engineer-momence
Apply URLhttps://jobs.smartrecruiters.com/Xplor/744000126296829-revenue-operations-analytics-engineer-momence?oga=true
First Seen At2026-05-31 17:45:21Z
Last Seen At2026-06-15 11:01:37Z
Last Checked At2026-06-17 11:04:37Z
Last Changed At2026-06-17 11:04:37Z
Inactive At2026-06-17 11:04:37Z
Source Posted At2026-05-13 12:09:37Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=smartrecruiters/board=xplor/date=2026-06-15/2026-06-15T11-01-11-999Z-40cf76ded40370fc18014018493b1501ad099b974cf0cf07e1eb4cce86df9ed1.json
Event Fields
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Parsed Structured
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Extensions
{}
Native Structured
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