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FunnelFox is a no-code platform that helps app developers grow revenue through web2app funnels. Launched two years ago as Adapty’s new project, it’s already showing impressive growth. Marketers and product managers can build, launch, and optimize funnels in hours instead of months, all without writing a single line of code. We are building a proper analytics foundation with our own warehouse, dbt, and Airflow. The platform side is taking shape, but we also need a strong analyst who can help turn messy source data into trusted business logic, clear marts, and usable dashboards. This is not a narrow reporting role. It is also not a pure product analytics role, and not an analytics engineer role in disguise. It sits in between. You’ll mainly work on the business layer in dbt, building marts and models that support real use cases. While you won’t own ingestion or raw pipelines end-to-end, you’ll feel comfortable exploring source systems, understanding what data is needed, spotting gaps, and collaborating with data engineers to shape upstream models for reliable analytics.
Job Responsibility:
Define and refine metric logic
Support both internal and product-facing analytics use cases
Validate numbers before they reach stakeholders or clients
Work with messy source data and bring structure to it
Build and improve business-facing marts
Shape upstream requirements for engineering
Reduce logic duplication and dashboard drift
Document assumptions, limitations, and logic
Partner closely with the Analytics Lead and data engineer
Requirements:
Strong ownership of analytical problems
Good metric sense
Strong collaboration skills
Experience across product, business, or revenue analytics
Ability to work across B2B and B2C logic
Care about trust in data
Strong SQL and analytical thinking
Comfort with dbt or a close equivalent
Ability to translate source complexity into engineering requirements
Nice to have:
Experience in B2B SaaS
Experience with client-facing or externally visible reporting
Experience with billing, payments, subscriptions, invoices, refunds, or reconciliation logic
Experience with product analytics and behavioral data
Experience with systems thinking or data systems design
Ability to understand incoming API data structures and make good decisions about what should be modeled, kept, ignored, or pushed upstream
Experience working closely with data engineers on warehouse design