Revenue Performance Operations Analyst

Company Mission

Our mission is to give the world access to the best products by empowering great businesses to reach their growth potential.

About Wayflyer

Today's SMBs need a capital provider that keeps pace with their growth ambitions. Traditional financing options are slow, cumbersome and often out of reach. That's why we built Wayflyer.

Our unique technology allows us to assess businesses in minutes, generate financing offers that reflect their growth potential and send funds in as little as 24 hours.

Since launching in April 2020, we've deployed over $5bn to thousands of businesses worldwide, backed by Tier 1 banks like J.P. Morgan. We've become a trusted financing partner for some amazing brands, like True Classic, Little Words Project and Kekoa Foods.

Teams at Wayflyer are truly cross-functional. You'll be collaborating with ambitious colleagues from around the world - all striving to deliver on a huge opportunity. Check out this video to hear directly from them.

Culture & Values at Wayflyer

At Wayflyer, we value being sound people, excellent operators, and ambitious overachievers, working together with integrity, creativity, and bold optimism to deliver exceptional results. To learn more, please visit our website.

Your Role at a Glance: The key ways you'll bring value to the team

You'll own revenue performance as a system, not a set of reports. Design, build, and continuously improve the models, data flows, and automations that power forecasting, planning, and execution.

Specifically, you will:

• Build and own all revenue forecasting and planning models across pipeline, conversion, retention, headcount, and investment scenarios, and turn them into automated, repeatable systems

• Design scalable planning frameworks that connect targets, capacity, productivity, incentives, and budget, then operationalise them through data pipelines and workflows

• Work hands on in SQL, Python, advanced spreadsheets, and automation tools to analyse performance, build logic, and deploy solutions

• Treat revenue analytics as a product: define inputs, outputs, dependencies, edge cases, and failure modes

• Build automated reporting, alerts, and self serve dashboards that surface insight at the right moment, not just in monthly decks

• Create attribution, segmentation, and channel performance models, then embed them into GTM workflows and decision making

• Partner with RevOps, Sales, Marketing, Finance, and Product to translate messy real world problems into clean technical solutions

• Improve data quality, structure, and reliability through automation, validation, and system level fixes rather than manual clean up

• Prototype, test, and iterate quickly. Build first, refine later.

What Makes You a Great Fit

The core ways you will drive impact:

• Strong experience in revenue analytics, RevOps, commercial analytics, or technical operations in a high growth tech or SaaS environment

• Deep comfort working with SQL and Python, including pandas and numerical modelling, not just querying

• Experience building automated workflows using tools like Zapier, Pipedream, n8n, or similar, or custom scripts where needed

• Strong understanding of modern GTM systems such