Revenue Operations Analytics Engineer Momence

At Momence were 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.

Youll 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

Whatll 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 youll 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 Momences 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 130000 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 youre 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 dont send your application via email.

To learn more about us and our products please visit  also invite you to check out our Candidate FAQs for more information about our recruitment process 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. Were 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 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  

We make it a priority to respond to every applicant.

Remote Work :

Yes

Employment Type :

Full-time