CRO & Data Optimization Specialist

Pearl West; A distancia; MXN 200,000 - 400,000; Jornada completa

Descripción de la vacante

A leading eCommerce firm is seeking a CRO & Data Optimization Specialist. This full-time remote role is focused on maximizing revenue through experimentation, insights, and optimization. Responsibilities include planning A/B tests, analyzing data, collaborating cross-functionally, and building systems for insights. Candidates should possess strong DTC eCommerce experience and proficiency with AI tools for analysis and ideation. Competitive compensation is offered based on experience.

Servicios

Competitive compensation

High ownership and low bureaucracy

Direct impact on revenue and growth

Formación

• Deep DTC eCommerce experience in funnels and optimization.
• Hands-on experience with conversion rate optimization.
• Strong analytical skills to derive insights from data.

Responsabilidades

• Plan, launch, and analyze A/B and multivariate tests.
• Collaborate with cross-functional teams to implement changes.
• Create weekly roadmaps for optimization and insights.

Conocimientos

DTC eCommerce experience

CRO and experimentation platforms

Analytical mindset

Experience with GA4

Understanding of front-end structure

Herramientas

Convert

VWO

AB Tasty

Shopify analytics

Descripción del empleo

Role Overview

We're looking for a CRO & Data Optimization Specialist to own experimentation, insights, and optimization across our entire on-site funnel—from landing pages to PDPs to checkout.

This role is responsible for squeezing maximum revenue out of our existing traffic by planning and executing A/B tests, uncovering insights from user behavior, and partnering with design, copy, and dev to ship high-impact improvements quickly.

This is not a reporting-only role—this is a hands‑on, execution-focused position for someone who knows how to turn data into action. We are looking for candidates based in LATAM or the Philippines.

Key Responsibilities

Own Experimentation & Testing

• Plan, launch, and analyze A/B and multivariate tests across landing pages, PDPs, funnels, and checkout.
• Write clear hypotheses and structured testing briefs.
• Maintain a consistent testing cadence and roadmap.

Optimize the Full Funnel

• Improve LP → PDP → ATC → Checkout performance.
• Identify and prioritize opportunities across messaging, layout, pricing, offers, and UX.
• Optimize for CVR, AOV, and net conversion efficiency.

Analyze & Interpret Data

• Pull and interpret data from GA4, Northbeam, Shopify, Hotjar, heatmaps, and session recordings.
• Identify patterns in user behavior, drop‑offs, and friction points.
• Translate findings into clear insights and next actions.

Collaborate Cross‑Functionally

• Partner with copywriters and designers to iterate on winning variations.
• Work closely with dev or no-code builders to implement tests.
• Align with performance and growth teams to support paid traffic efficiency.

Build Systems & Insights

• Create weekly CRO roadmaps and testing priorities.
• Deliver clear insights and recommendations on a regular cadence.
• Continuously improve experimentation frameworks and documentation.

Leverage AI for Speed & Scale

• Use AI tools to accelerate analysis, ideation, hypothesis writing, and insight reporting.
• Integrate AI into daily workflows to improve output and speed without sacrificing quality.

Key Performance Indicators (KPIs)

• 📈 Higher conversion rates (CVR) across funnels.
• 💰 Increased AOV and improved net contribution margin.
• 🚀 Improved NC ROAS from existing traffic.
• 🧪 Increased testing velocity and experiment throughput.
• 📊 Clear, actionable insights delivered consistently.

Required Skills & Qualifications

Must‑Have Skills

• Deep DTC eCommerce experience (funnels, PDP optimization, paid traffic behavior, offer structures).
• Hands‑on experience with CRO and experimentation platforms (Convert, VWO, AB Tasty, or similar).
• Strong analytical mindset with the ability to tell a clear story from data.
• Experience working with GA4, Shopify analytics, attribution tools, and behavior analytics.
• Understanding of front‑end structure and experimentation constraints (no need to be a developer).

AI / LLM Proficiency (Required)

• Active use of AI tools such as ChatGPT, Claude, Gemini, Perplexity, Midjourney, or similar to:
  • Speed up data analysis.
  • Generate and prioritize test ideas.
  • Draft hypotheses and testing plans.
  • Summarize insights and results.
  • Build faster, clearer insight decks.
• Demonstrated ability to use AI as a force multiplier for a 10–20 %+ productivity lift.

Who Should Apply?

✅ Apply if you:

• Love experimentation and learning from real user behavior.
• Enjoy turning messy data into clear, actionable insights.
• Take ownership and don’t wait to be told what to test next.
• Thrive in fast‑moving, performance‑driven environments.

🚫 Do not apply if you:

• Prefer reporting over execution.
• Are uncomfortable with data or experimentation.
• Don’t enjoy iteration, testing, or feedback.
• Need rigid processes or heavy hand‑holding.

Compensation & Work Environment

• 💼 Full‑time, remote.
• 💰 Competitive compensation based on experience.
• 🧘 High ownership, low bureaucracy.
• 🎯 Direct impact on revenue and growth.
• 🌱 Opportunity to scale your influence across multiple brands.

Application Process

1. Submission of resume and relevant experience.
2. Initial interview with the HR team.
3. Skills or case‑based assessment.
4. Final interview with the Department Manager.