Data Analyst (Growth and Experimentation)

Location: Remote from Mexico, Peru, Colombia, or Uruguay; Mexico City and Bogotá are also listed.

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 skills for pre-test power calculations and live-test health checks.
• Build and maintain a trusted visitor-to-lead-to-customer funnel across brands and channels, including CAC, LTV, conversion-rate, attribution, and seasonal analysis.
• Partner directly with the Director of CRO, performance marketing, Growth PMs, and the CEO to turn analysis into decisions and challenge conclusions when the data requires it.
• Establish the Growth analytics standards and playbook by the end of Year 1 and recommend whether to buy or build the experimentation stack.
• Drive measurable, quantified conversion improvements and reduce experiment reruns caused by tracking or attribution issues.

Requirements

• Expert SQL and enough Python to automate statistical-significance calculations; hands-on comfort with dbt and Lightdash and the ability to build models independently.
• Strong expertise in experiment design, power, significance, novelty and interaction effects, anytime-valid monitoring, and recognizing underpowered tests and false positives.
• Experience with acquisition-to-conversion funnels, CAC, LTV, channel economics, attribution challenges, seasonality, and paid, organic, or partner channels.
• Fluency in experiment instrumentation, including how Segment events and Flagsmith randomization interact.
• Daily use of AI for SQL, dbt, and analysis pressure-testing, with willingness to extend existing AI experimentation skills.
• Ability to influence PMs and marketers, communicate uncertainty clearly, identify high-value questions independently, and push back on incorrect conclusions.
• This is an individual-contributor role, not a people-management position or a pure product-feature analytics seat.

Nice to have

• No separate optional qualifications are specified.

Culture & Benefits

• Fully remote from the listed countries and locations, with deep-focus analytical work and US-facing partners.
• Flexible PTO measured by outcomes rather than logged hours.
• AI experimentation tooling is already provided and available to extend.
• The role has direct organizational visibility, including CEO engagement with experiment design.
• The position is dedicated to Growth and Experimentation, with significant ownership over how the company evaluates what works.