Growth and Experimentation Data Analyst (AI)

Location: Remote; hiring in Brazil, Mexico, and Colombia

Base salary: $75,000–$100,000 USD annually

Company

hirify.global operates an on-demand marketplace for lawn care and outdoor services and is expanding into a broader home-services marketplace.

What you will do

• Own experiment design, power and sample-size decisions, statistical rigor, monitoring standards, and readouts across web funnels, SMS/drip, sales-driven, and SEO tests.
• Extend the self-serve experimentation layer with automated Growth metrics in Lightdash, Python-backed statistical-significance tooling, and AI routines for power calculations and live-test health checks.
• Build and maintain a trusted, instrumented visitor-to-lead-to-customer funnel across brands and channels, including CAC, LTV, conversion rate, attribution, and seasonality views.
• Partner with the Director of CRO, performance marketing, and Growth PMs to turn analysis into decisions and challenge conclusions when the data supports a different direction.
• Establish the Growth analytics standards and playbook during Year 1 and recommend whether to buy or build the experimentation stack.
• Drive quantified conversion improvements and reduce reruns caused by tracking or attribution problems.

Requirements

• Expert SQL and enough Python to automate statistical-significance calculations; comfortable building models independently in dbt and Lightdash.
• Strong knowledge of experiment design, power, significance, novelty effects, interaction effects, anytime-valid monitoring, and when not to test.
• Experience with experiment instrumentation, including how Segment events and Flagsmith randomization interact.
• Strong understanding of CAC, LTV, conversion, attribution issues, seasonality, channel mix, and acquisition economics.
• Ability to identify broken tracking or attribution, explain statistical issues plainly, and maintain trustworthy analysis.
• Daily use of AI for SQL, dbt, and analysis pressure-testing; willingness to extend existing AI experimentation skills.
• Ability to work proactively with PMs and marketers, influence decisions without authority, and push back on weak conclusions.
• This is an individual-contributor Growth and Experimentation role, not a people-management, product-feature analytics, ticket-queue, or pure dashboard-building position.

Culture & Benefits

• Fully remote analytical work with US-facing partners; hiring is based on analyst capability rather than city within the stated locations.
• Flexible PTO measured by outcomes rather than logged hours.
• Existing AI experimentation tooling is provided for extension and further automation.
• The role has direct partnership with senior Growth stakeholders, including CEO engagement in experiment design.